Mingxuan Liu
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- SEC '24: Proceedings of the 33rd USENIX Conference on Security Symposium (2)
- ACSAC '19: Proceedings of the 35th Annual Computer Security Applications Conference (1)
- ACSAC '21: Proceedings of the 37th Annual Computer Security Applications Conference (1)
- CCS '20: Proceedings of the 2020 ACM SIGSAC Conference on Computer and Communications Security (1)
- CCS '23: Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security (1)
- Computer Security – ESORICS 2022 (1)
- IJCAI'20: Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence (1)
- RAID '22: Proceedings of the 25th International Symposium on Research in Attacks, Intrusions and Defenses (1)
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- research-article
Tickets or privacy? understand the ecosystem of chinese ticket grabbing apps
Yijing Liu
Tsinghua University
,Yiming Zhang
Tsinghua University
,Baojun Liu
Tsinghua University and Zhongguancun Laboratory
,Haixin Duan
Tsinghua University and Quancheng Laboratory
,Qiang Li
Qihoo 360
,Mingxuan Liu
Zhongguancun Laboratory
,Ruixuan Li
Tsinghua University
,Jia Yao
Tsinghua University
SEC '24: Proceedings of the 33rd USENIX Conference on Security Symposium•August 2024, Article No.: 286, pp 5107-5124Due to the prevalence of scalping and the promotion of realname ticketing systems, user-oriented mobile ticket grabbing apps have become a popular pattern for scalpers. Compared with traditional scalper-oriented scalping, ticket grabbing apps pose ...
- 0Citation
MetricsTotal Citations0
- research-article
Into the dark: unveiling internal site search abused for black hat SEO
Yunyi Zhang
National University of Defense Technology and Tsinghua University
,Mingxuan Liu
Zhongguancun Laboratory
,Baojun Liu
Tsinghua University and Zhongguancun Laboratory
,Yiming Zhang
Tsinghua University
,Haixin Duan
Tsinghua University and Zhongguancun Laboratory
,Min Zhang
National University of Defense Technology
,Hui Jiang
Tsinghua University and Baidu Inc
,Yanzhe Li
Baidu Inc
,Fan Shi
National University of Defense Technology
SEC '24: Proceedings of the 33rd USENIX Conference on Security Symposium•August 2024, Article No.: 88, pp 1561-1578Internal site Search Abuse Promotion (ISAP) is a prevalent Black Hat Search Engine Optimization (SEO) technique, which exploits the reputation of abused internal search websites with minimal effort. However, ISAP is underappreciated and not ...
- 0Citation
MetricsTotal Citations0
- research-articleOpen Access
Published By ACM
Published By ACM
Under the Dark: A Systematical Study of Stealthy Mining Pools (Ab)use in the Wild
Zhenrui Zhang
Tsinghua University & QI-ANXIN Technology Research Institute, Beijing, China
,Geng Hong
Fudan University, Shanghai, China
,Xiang Li
Tsinghua University, Beijing, China
,Zhuoqun Fu
Tsinghua University, Beijing, China
,Jia Zhang
Tsinghua University & Zhongguancun Laboratory, Beijing, China
,Mingxuan Liu
Tsinghua University & Zhongguancun Laboratory, Beijing, China
,Chuhan Wang
Tsinghua University, Beijing, China
,Jianjun Chen
Tsinghua University & Zhongguancun Laboratory, Beijing, China
,Baojun Liu
Tsinghua University & Zhongguancun Laboratory, Beijing, China
,Haixin Duan
Tsinghua University & Quancheng Laboratory, Beijing, China
,Chao Zhang
Tsinghua University & Zhongguancun Laboratory, Beijing, China
,Min Yang
Fudan University, Shanghai, China
CCS '23: Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security•November 2023, pp 326-340• https://doi.org/10.1145/3576915.3616677Cryptocurrency mining is a crucial operation in blockchains, and miners often join mining pools to increase their chances of earning rewards. However, the energy-intensive nature of PoW cryptocurrency mining has led to its ban in New York State of the ...
- 1Citation
- 1,213
- Downloads
MetricsTotal Citations1Total Downloads1,213Last 12 Months1,042Last 6 weeks65
- research-article
Automatic Generation of Adversarial Readable Chinese Texts
Mingxuan Liu
Institute for Network Science and Cyberspace, Tsinghua University, Beijing, China
,Zihan Zhang
Institute for Network Science and Cyberspace, Tsinghua University, Beijing, China
,Yiming Zhang
Department of Computer Science and Technology, Tsinghua University, Beijing, China
,Chao Zhang
Institute for Network Science and Cyberspace, Tsinghua University, Beijing, China
,Zhou Li
Department of Electrical Engineering & Computer Science, University of California, Irvine, CA, USA
,Qi Li
Institute for Network Science and Cyberspace, Tsinghua University, Beijing, China
,Haixin Duan
Institute for Network Science and Cyberspace, Tsinghua University, Beijing, China
,Donghong Sun
Institute for Network Science and Cyberspace, Tsinghua University, Beijing, China
IEEE Transactions on Dependable and Secure Computing, Volume 20, Issue 2•March-April 2023, pp 1756-1770 • https://doi.org/10.1109/TDSC.2022.3164289Natural language processing (NLP) models are known vulnerable to adversarial examples, similar to image processing models. Studying adversarial texts is an essential step to improve the robustness of NLP models. However, existing studies mainly focus on ...
- 0Citation
MetricsTotal Citations0
- research-articleOpen Access
Published By ACM
Published By ACM
Encrypted Malware Traffic Detection via Graph-based Network Analysis
Zhuoqun Fu
Tsinghua University, China
,Mingxuan Liu
Tsinghua University, China
,Yue Qin
Indiana University Bloomington, United States of America
,Jia Zhang
Tsinghua University, China
,Yuan Zou
Tsinghua University; GeekSec Security Group, China
,Qilei Yin
Tsinghua University, China
,Qi Li
Tsinghua University, China
,Haixin Duan
Tsinghua University; Qi An Xin Group Corp., China
RAID '22: Proceedings of the 25th International Symposium on Research in Attacks, Intrusions and Defenses•October 2022, pp 495-509• https://doi.org/10.1145/3545948.3545983Malicious activities on the Internet continue to grow in volume and damage, posing a serious risk to society. Malware with remote control capabilities is considered one of the most threatening malicious activities, as it can enable arbitrary types of ...
- 25Citation
- 3,171
- Downloads
MetricsTotal Citations25Total Downloads3,171Last 12 Months1,647Last 6 weeks135
- Article
Exploring the Characteristics and Security Risks of Emerging Emoji Domain Names
Mingxuan Liu
Tsinghua University, Beijing, China
BNRist, Beijing, China
,Yiming Zhang
Tsinghua University, Beijing, China
,Baojun Liu
Tsinghua University, Beijing, China
,Haixin Duan
Tsinghua University, Beijing, China
Peng Cheng Lab, Shenzhen, China
Computer Security – ESORICS 2022•September 2022, pp 186-206• https://doi.org/10.1007/978-3-031-17143-7_10AbstractEmoji domains, such as (xn–i-7iq.ws), are distinctive and attractive to registrants due to their eye-catching visuals. Despite its long history (over 20 years), little has been done to understand its development status and security issues. In ...
- 0Citation
MetricsTotal Citations0
- research-article
Published By ACM
Published By ACM
Detecting and Characterizing SMS Spearphishing Attacks
Mingxuan Liu
Tsinghua University, China and Beijing National Research Center for Information Science and Technology, China
,Yiming Zhang
Tsinghua University, China
,Baojun Liu
Tsinghua University, China
,Zhou Li
University of California, Irvine, USA
,Haixin Duan
Tsinghua University, China and QI-ANXIN Technology Research Institute, China
,Donghong Sun
Tsinghua University, China and Beijing National Research Center for Information Science and Technology, China
ACSAC '21: Proceedings of the 37th Annual Computer Security Applications Conference•December 2021, pp 930-943• https://doi.org/10.1145/3485832.3488012Although spearphishing is a well-known security issue and has been widely researched, it is still an evolving threat with emerging forms. In recent years, Short Message Service (SMS) has been revealed as a new distribution channel for spearphishing ...
- 13Citation
- 448
- Downloads
MetricsTotal Citations13Total Downloads448Last 12 Months130Last 6 weeks9
- research-articlefree
Argot: generating adversarial readable chinese texts
Zihan Zhang
Tsinghua University
,Mingxuan Liu
Tsinghua University
,Chao Zhang
Tsinghua University and Beijing National Research Center for Information Science and Technology
,Yiming Zhang
Tsinghua University
,Zhou Li
University of California Irvine
,Qi Li
Tsinghua University and Beijing National Research Center for Information Science and Technology
,Haixin Duan
Tsinghua University and Beijing National Research Center for Information Science and Technology and Qi An Xin Group
,Donghong Sun
Tsinghua University
IJCAI'20: Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence•January 2021, Article No.: 351, pp 2533-2539Natural language processing (NLP) models are known vulnerable to adversarial examples, similar to image processing models. Studying adversarial texts is an essential step to improve the robustness of NLP models. However, existing studies mainly focus on ...
- 1Citation
- 49
- Downloads
MetricsTotal Citations1Total Downloads49Last 12 Months33Last 6 weeks12
- research-article
Published By ACM
Published By ACM
Lies in the Air: Characterizing Fake-base-station Spam Ecosystem in China
Yiming Zhang
Beijing National Research Center for Information Science and Technology & Tsinghua University, Beijing, China
,Baojun Liu
Beijing National Research Center for Information Science and Technology & Tsinghua University, Beijing, China
,Chaoyi Lu
Beijing National Research Center for Information Science and Technology & Tsinghua University, Beijing, China
,Zhou Li
University of California, Irvine, Irvine, CA, USA
,Haixin Duan
Beijing National Research Center for Information Science and Technology, Tsinghua University, & QI-ANXIN Group, Beijing, China
,Shuang Hao
University of Texas at Dallas, Dallas, TX, USA
,Mingxuan Liu
Beijing National Research Center for Information Science and Technology & Tsinghua University, Beijing, China
,Ying Liu
Beijing National Research Center for Information Science and Technology & Tsinghua University, Beijing, China
,Dong Wang
360 Mobile Safe, Beijing, China
,Qiang Li
360 Mobile Safe, Beijing, China
CCS '20: Proceedings of the 2020 ACM SIGSAC Conference on Computer and Communications Security•October 2020, pp 521-534• https://doi.org/10.1145/3372297.3417257Fake base station (FBS) has been exploited by criminals to attack mobile users by spamming fraudulent messages for over a decade. Despite that prior work has proposed several techniques to mitigate this issue, FBS spam is still a long-standing ...
- 27Citation
- 1,219
- Downloads
MetricsTotal Citations27Total Downloads1,219Last 12 Months178Last 6 weeks12- 1
Supplementary MaterialCopy of CSS2020_fp209_Lies in the Air - Nano Zii.mov
- research-article
Published By ACM
Published By ACM
Casino royale: a deep exploration of illegal online gambling
Hao Yang
Tsinghua University
,Kun Du
Tsinghua University
,Yubao Zhang
University of Delaware
,Shuang Hao
University of Texas at Dallas
,Zhou Li
University of California
,Mingxuan Liu
Tsinghua University
,Haining Wang
Virginia Tech
,Haixin Duan
Tsinghua University
,Yazhou Shi
Baidu Inc
,Xiaodong Su
Baidu Inc
,Guang Liu
Baidu Inc
,Zhifeng Geng
Baidu Inc
,Jianping Wu
Tsinghua University
ACSAC '19: Proceedings of the 35th Annual Computer Security Applications Conference•December 2019, pp 500-513• https://doi.org/10.1145/3359789.3359817The popularity of online gambling could bring negative social impact, and many countries ban or restrict online gambling. Taking China for example, online gambling violates Chinese laws and hence is illegal. However, illegal online gambling websites are ...
- 25Citation
- 676
- Downloads
MetricsTotal Citations25Total Downloads676Last 12 Months138Last 6 weeks4
Author Profile Pages
- Description: The Author Profile Page initially collects all the professional information known about authors from the publications record as known by the ACM bibliographic database, the Guide. Coverage of ACM publications is comprehensive from the 1950's. Coverage of other publishers generally starts in the mid 1980's. The Author Profile Page supplies a quick snapshot of an author's contribution to the field and some rudimentary measures of influence upon it. Over time, the contents of the Author Profile page may expand at the direction of the community.
Please see the following 2007 Turing Award winners' profiles as examples: - History: Disambiguation of author names is of course required for precise identification of all the works, and only those works, by a unique individual. Of equal importance to ACM, author name normalization is also one critical prerequisite to building accurate citation and download statistics. For the past several years, ACM has worked to normalize author names, expand reference capture, and gather detailed usage statistics, all intended to provide the community with a robust set of publication metrics. The Author Profile Pages reveal the first result of these efforts.
- Normalization: ACM uses normalization algorithms to weigh several types of evidence for merging and splitting names.
These include:- co-authors: if we have two names and cannot disambiguate them based on name alone, then we see if they have a co-author in common. If so, this weighs towards the two names being the same person.
- affiliations: names in common with same affiliation weighs toward the two names being the same person.
- publication title: names in common whose works are published in same journal weighs toward the two names being the same person.
- keywords: names in common whose works address the same subject matter as determined from title and keywords, weigh toward being the same person.
The more conservative the merging algorithms, the more bits of evidence are required before a merge is made, resulting in greater precision but lower recall of works for a given Author Profile. Many bibliographic records have only author initials. Many names lack affiliations. With very common family names, typical in Asia, more liberal algorithms result in mistaken merges.
Automatic normalization of author names is not exact. Hence it is clear that manual intervention based on human knowledge is required to perfect algorithmic results. ACM is meeting this challenge, continuing to work to improve the automated merges by tweaking the weighting of the evidence in light of experience.
- Bibliometrics: In 1926, Alfred Lotka formulated his power law (known as Lotka's Law) describing the frequency of publication by authors in a given field. According to this bibliometric law of scientific productivity, only a very small percentage (~6%) of authors in a field will produce more than 10 articles while the majority (perhaps 60%) will have but a single article published. With ACM's first cut at author name normalization in place, the distribution of our authors with 1, 2, 3..n publications does not match Lotka's Law precisely, but neither is the distribution curve far off. For a definition of ACM's first set of publication statistics, see Bibliometrics
- Future Direction:
The initial release of the Author Edit Screen is open to anyone in the community with an ACM account, but it is limited to personal information. An author's photograph, a Home Page URL, and an email may be added, deleted or edited. Changes are reviewed before they are made available on the live site.
ACM will expand this edit facility to accommodate more types of data and facilitate ease of community participation with appropriate safeguards. In particular, authors or members of the community will be able to indicate works in their profile that do not belong there and merge others that do belong but are currently missing.
A direct search interface for Author Profiles will be built.
An institutional view of works emerging from their faculty and researchers will be provided along with a relevant set of metrics.
It is possible, too, that the Author Profile page may evolve to allow interested authors to upload unpublished professional materials to an area available for search and free educational use, but distinct from the ACM Digital Library proper. It is hard to predict what shape such an area for user-generated content may take, but it carries interesting potential for input from the community.
Bibliometrics
The ACM DL is a comprehensive repository of publications from the entire field of computing.
It is ACM's intention to make the derivation of any publication statistics it generates clear to the user.
- Average citations per article = The total Citation Count divided by the total Publication Count.
- Citation Count = cumulative total number of times all authored works by this author were cited by other works within ACM's bibliographic database. Almost all reference lists in articles published by ACM have been captured. References lists from other publishers are less well-represented in the database. Unresolved references are not included in the Citation Count. The Citation Count is citations TO any type of work, but the references counted are only FROM journal and proceedings articles. Reference lists from books, dissertations, and technical reports have not generally been captured in the database. (Citation Counts for individual works are displayed with the individual record listed on the Author Page.)
- Publication Count = all works of any genre within the universe of ACM's bibliographic database of computing literature of which this person was an author. Works where the person has role as editor, advisor, chair, etc. are listed on the page but are not part of the Publication Count.
- Publication Years = the span from the earliest year of publication on a work by this author to the most recent year of publication of a work by this author captured within the ACM bibliographic database of computing literature (The ACM Guide to Computing Literature, also known as "the Guide".
- Available for download = the total number of works by this author whose full texts may be downloaded from an ACM full-text article server. Downloads from external full-text sources linked to from within the ACM bibliographic space are not counted as 'available for download'.
- Average downloads per article = The total number of cumulative downloads divided by the number of articles (including multimedia objects) available for download from ACM's servers.
- Downloads (cumulative) = The cumulative number of times all works by this author have been downloaded from an ACM full-text article server since the downloads were first counted in May 2003. The counts displayed are updated monthly and are therefore 0-31 days behind the current date. Robotic activity is scrubbed from the download statistics.
- Downloads (12 months) = The cumulative number of times all works by this author have been downloaded from an ACM full-text article server over the last 12-month period for which statistics are available. The counts displayed are usually 1-2 weeks behind the current date. (12-month download counts for individual works are displayed with the individual record.)
- Downloads (6 weeks) = The cumulative number of times all works by this author have been downloaded from an ACM full-text article server over the last 6-week period for which statistics are available. The counts displayed are usually 1-2 weeks behind the current date. (6-week download counts for individual works are displayed with the individual record.)
ACM Author-Izer Service
Summary Description
ACM Author-Izer is a unique service that enables ACM authors to generate and post links on both their homepage and institutional repository for visitors to download the definitive version of their articles from the ACM Digital Library at no charge.
Downloads from these sites are captured in official ACM statistics, improving the accuracy of usage and impact measurements. Consistently linking to definitive version of ACM articles should reduce user confusion over article versioning.
ACM Author-Izer also extends ACM’s reputation as an innovative “Green Path” publisher, making ACM one of the first publishers of scholarly works to offer this model to its authors.
To access ACM Author-Izer, authors need to establish a free ACM web account. Should authors change institutions or sites, they can utilize the new ACM service to disable old links and re-authorize new links for free downloads from a different site.
How ACM Author-Izer Works
Authors may post ACM Author-Izer links in their own bibliographies maintained on their website and their own institution’s repository. The links take visitors to your page directly to the definitive version of individual articles inside the ACM Digital Library to download these articles for free.
The Service can be applied to all the articles you have ever published with ACM.
Depending on your previous activities within the ACM DL, you may need to take up to three steps to use ACM Author-Izer.
For authors who do not have a free ACM Web Account:
- Go to the ACM DL http://dl.acm.org/ and click SIGN UP. Once your account is established, proceed to next step.
For authors who have an ACM web account, but have not edited their ACM Author Profile page:
- Sign in to your ACM web account and go to your Author Profile page. Click "Add personal information" and add photograph, homepage address, etc. Click ADD AUTHOR INFORMATION to submit change. Once you receive email notification that your changes were accepted, you may utilize ACM Author-izer.
For authors who have an account and have already edited their Profile Page:
- Sign in to your ACM web account, go to your Author Profile page in the Digital Library, look for the ACM Author-izer link below each ACM published article, and begin the authorization process. If you have published many ACM articles, you may find a batch Authorization process useful. It is labeled: "Export as: ACM Author-Izer Service"
ACM Author-Izer also provides code snippets for authors to display download and citation statistics for each “authorized” article on their personal pages. Downloads from these pages are captured in official ACM statistics, improving the accuracy of usage and impact measurements. Consistently linking to the definitive version of ACM articles should reduce user confusion over article versioning.
Note: You still retain the right to post your author-prepared preprint versions on your home pages and in your institutional repositories with DOI pointers to the definitive version permanently maintained in the ACM Digital Library. But any download of your preprint versions will not be counted in ACM usage statistics. If you use these AUTHOR-IZER links instead, usage by visitors to your page will be recorded in the ACM Digital Library and displayed on your page.
FAQ
- Q. What is ACM Author-Izer?
A. ACM Author-Izer is a unique, link-based, self-archiving service that enables ACM authors to generate and post links on either their home page or institutional repository for visitors to download the definitive version of their articles for free.
- Q. What articles are eligible for ACM Author-Izer?
- A. ACM Author-Izer can be applied to all the articles authors have ever published with ACM. It is also available to authors who will have articles published in ACM publications in the future.
- Q. Are there any restrictions on authors to use this service?
- A. No. An author does not need to subscribe to the ACM Digital Library nor even be a member of ACM.
- Q. What are the requirements to use this service?
- A. To access ACM Author-Izer, authors need to have a free ACM web account, must have an ACM Author Profile page in the Digital Library, and must take ownership of their Author Profile page.
- Q. What is an ACM Author Profile Page?
- A. The Author Profile Page initially collects all the professional information known about authors from the publications record as known by the ACM Digital Library. The Author Profile Page supplies a quick snapshot of an author's contribution to the field and some rudimentary measures of influence upon it. Over time, the contents of the Author Profile page may expand at the direction of the community. Please visit the ACM Author Profile documentation page for more background information on these pages.
- Q. How do I find my Author Profile page and take ownership?
- A. You will need to take the following steps:
- Create a free ACM Web Account
- Sign-In to the ACM Digital Library
- Find your Author Profile Page by searching the ACM Digital Library for your name
- Find the result you authored (where your author name is a clickable link)
- Click on your name to go to the Author Profile Page
- Click the "Add Personal Information" link on the Author Profile Page
- Wait for ACM review and approval; generally less than 24 hours
- Q. Why does my photo not appear?
- A. Make sure that the image you submit is in .jpg or .gif format and that the file name does not contain special characters
- Q. What if I cannot find the Add Personal Information function on my author page?
- A. The ACM account linked to your profile page is different than the one you are logged into. Please logout and login to the account associated with your Author Profile Page.
- Q. What happens if an author changes the location of his bibliography or moves to a new institution?
- A. Should authors change institutions or sites, they can utilize ACM Author-Izer to disable old links and re-authorize new links for free downloads from a new location.
- Q. What happens if an author provides a URL that redirects to the author’s personal bibliography page?
- A. The service will not provide a free download from the ACM Digital Library. Instead the person who uses that link will simply go to the Citation Page for that article in the ACM Digital Library where the article may be accessed under the usual subscription rules.
However, if the author provides the target page URL, any link that redirects to that target page will enable a free download from the Service.
- Q. What happens if the author’s bibliography lives on a page with several aliases?
- A. Only one alias will work, whichever one is registered as the page containing the author’s bibliography. ACM has no technical solution to this problem at this time.
- Q. Why should authors use ACM Author-Izer?
- A. ACM Author-Izer lets visitors to authors’ personal home pages download articles for no charge from the ACM Digital Library. It allows authors to dynamically display real-time download and citation statistics for each “authorized” article on their personal site.
- Q. Does ACM Author-Izer provide benefits for authors?
- A. Downloads of definitive articles via Author-Izer links on the authors’ personal web page are captured in official ACM statistics to more accurately reflect usage and impact measurements.
Authors who do not use ACM Author-Izer links will not have downloads from their local, personal bibliographies counted. They do, however, retain the existing right to post author-prepared preprint versions on their home pages or institutional repositories with DOI pointers to the definitive version permanently maintained in the ACM Digital Library.
- Q. How does ACM Author-Izer benefit the computing community?
- A. ACM Author-Izer expands the visibility and dissemination of the definitive version of ACM articles. It is based on ACM’s strong belief that the computing community should have the widest possible access to the definitive versions of scholarly literature. By linking authors’ personal bibliography with the ACM Digital Library, user confusion over article versioning should be reduced over time.
In making ACM Author-Izer a free service to both authors and visitors to their websites, ACM is emphasizing its continuing commitment to the interests of its authors and to the computing community in ways that are consistent with its existing subscription-based access model.
- Q. Why can’t I find my most recent publication in my ACM Author Profile Page?
- A. There is a time delay between publication and the process which associates that publication with an Author Profile Page. Right now, that process usually takes 4-8 weeks.
- Q. How does ACM Author-Izer expand ACM’s “Green Path” Access Policies?
- A. ACM Author-Izer extends the rights and permissions that authors retain even after copyright transfer to ACM, which has been among the “greenest” publishers. ACM enables its author community to retain a wide range of rights related to copyright and reuse of materials. They include:
- Posting rights that ensure free access to their work outside the ACM Digital Library and print publications
- Rights to reuse any portion of their work in new works that they may create
- Copyright to artistic images in ACM’s graphics-oriented publications that authors may want to exploit in commercial contexts
- All patent rights, which remain with the original owner