IH&MMSEC

In recent years there have been astonishing advances in AI-based synthetic media generation. Thanks to deep learning-based approaches it is now possible to generate data with a high level of realism. While this opens up new opportunities for the ...

Over the last 20 years, my students and I have built systems that look for signals of malice in large datasets. These datasets include network traffic, program code, web transactions, and social media posts. For many of our detection systems, we used ...

This talk focuses on end-to-end protection of the present and emerging Deep Learning (DL) and Federated Learning (FL) models. On the one hand, DL and FL models are usually trained by allocating significant computational resources to process massive ...

The abuse of DeepFake technique has raised enormous public concerns in recent years. Currently, the existing DeepFake datasets suffer some weaknesses of obvious visual artifacts, minimal Asian proportion, backward synthesis methods and short video ...

Introduced in 1991, libjpeg has become a well-established library for processing JPEG images. Many libraries in high-level languages use libjpeg under the hood. So far, little attention has been paid to the fact that different versions of the library ...

With current advancements in deep learning technology, it is becoming easier to create high-quality face forgery videos, causing concerns about the misuse of deepfake technology. In recent years, research on deepfake detection has become a popular ...

Watermarking neural networks (NNs) for ownership protection has received considerable attention recently. Resisting both model pruning and fine-tuning is commonly considered to evaluate the robustness of a watermarked NN. However, the rationale behind ...

With the increasing development of machine learning models in daily businesses, a strong need for intellectual property protection arised. For this purpose, current works suggest to leverage backdoor techniques to embed a watermark into the model, by ...

Machine learning models are vulnerable to adversarial attacks, where a small, invisible, malicious perturbation of the input changes the predicted label. A large area of research is concerned with verification techniques that attempt to decide whether a ...

We propose a method for covert communications using an IEEE 802.11 OFDM/QAM packet as a carrier. We show how to hide the covert message so that the transmitted signal does not violate the spectral mask specified by the standard, and we determine its ...

Network Time Security (NTS) specified in RFC8915 is a mechanism to provide cryptographic security for clock synchronization using the Network Time Protocol (NTP) as foundation. By using Transport Layer Security (TLS) and Authenticated Encryption with ...

The fingerprinting game is analysed when the coalition size k is known to the tracer, but the colluders can distribute themselves across L TV channels. The collusion channel is introduced and the extra degrees of freedom for the coalition are made ...

Traditional text steganalysis methods rely on a large amount of labeled data. At the same time, the test data should be independent and identically distributed with the training data. However, in practice, a large number of text types make it difficult ...

Text steganalysis is a technique to distinguish between steganographic text and normal text via statistical features. Current state-of-the-art text steganalysis models have two limitations. First, they need sufficient amounts of labeled data for ...

This article presents a first study on the possibility of hiding data using the UEFI NVRAM of today's computer systems as a storage channel. Embedding and extraction of executable data as well as media data are discussed and demonstrated as a proof of ...

In this work we aim to design a steganographic scheme undetectable by the Reverse JPEG Compatibility Attack (RJCA). The RJCA, while only effective for JPEG images compressed with quality factors 99 and 100, was shown to work mainly due to change in ...

Machine learning techniques have been widely applied in modern financial activities. Participants in the field are aware of the importance of data privacy. Vertical federated learning (VFL) was proposed as a solution to multi-party secure computation ...

This paper proposes a novel collaborative decryption protocol for the Brakerski-Fan-Vercauteren (BFV) homomorphic encryption scheme in a multiparty distributed setting, and puts it to use in designing a leakage-resilient biometric identification ...

Existing AMR (Adaptive Multi-Rate) steganalysis algorithms based on pitch delay have low detection accuracy on samples with short time or low embedding rate, and the model shows fragility under the attack of adversarial samples. To solve this problem, ...

A steganographer is not only hiding a payload inside their cover, they are also hiding themselves amongst the non-steganographers. In this paper we study asymptotic rates of growth for steganographic data -- analogous to the classical Square-Root Law -- ...

We study the problem of batch steganography when the senders use feedback from a steganography detector. This brings an additional level of complexity to the table due to the highly non-linear and non-Gaussian response of modern steganalysis detectors ...