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ORCIDKhaza Anuarul Hoque
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2020 – today
- 2024
[j12]Ayesha Siddique, Khaza Anuarul Hoque
:
Moving Target Defense Through Approximation for Low-Power Neuromorphic Edge Intelligence. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 43(3): 728-741 (2024)- [c31]Ernest Bonnah, Luan Viet Nguyen, Khaza Anuarul Hoque:
Efficient SMT-Based Model Checking for HyperTWTL. ICFEM 2024: 332-352 - [c30]Ripan Kumar Kundu, Khaza Anuarul Hoque:
Preserving Personal Space: Differentially Private Cybersickness Detection in Immersive Virtual Reality Environments. ISMAR 2024: 11-20 - [c29]Jyotirmay Nag Setu, Joshua M. Le, Ripan Kumar Kundu, Barry Giesbrecht, Tobias Höllerer, Khaza Anuarul Hoque, Kevin Desai, John Quarles:
Mazed and Confused: A Dataset of Cybersickness, Working Memory, Mental Load, Physical Load, and Attention During a Real Walking Task in VR. ISMAR 2024: 1048-1057 - [c28]Roshan Lal Neupane, Ernest Bonnah, Bishnu Bhusal, Kiran Neupane, Khaza Anuarul Hoque, Prasad Calyam:
Formal Verification for Blockchain-based Insurance Claims Processing. NOMS 2024: 1-5 - [i26]Roshan Lal Neupane, Ernest Bonnah, Bishnu Bhusal, Kiran Neupane, Khaza Anuarul Hoque, Prasad Calyam:
Formal Verification for Blockchain-based Insurance Claims Processing. CoRR abs/2402.13169 (2024) - [i25]Jyotirmay Nag Setu, Joshua M. Le, Ripan Kumar Kundu, Barry Giesbrecht, Tobias Höllerer, Khaza Anuarul Hoque, Kevin Desai, John Quarles:
Mazed and Confused: A Dataset of Cybersickness, Working Memory, Mental Load, Physical Load, and Attention During a Real Walking Task in VR. CoRR abs/2409.06898 (2024) - 2023
- [j11]Ernest Bonnah, Luan Viet Nguyen, Khaza Anuarul Hoque:
Motion Planning Using Hyperproperties for Time Window Temporal Logic. IEEE Robotics Autom. Lett. 8(8): 4386-4393 (2023) - [j10]Samaikya Valluripally, Benjamin Frailey, Brady Kruse, Boonakij Palipatana, Roland Oruche, Aniket Gulhane, Khaza Anuarul Hoque, Prasad Calyam:
Detection of Security and Privacy Attacks Disrupting User Immersive Experience in Virtual Reality Learning Environments. IEEE Trans. Serv. Comput. 16(4): 2559-2574 (2023) - [j9]Ayesha Siddique, Khaza Anuarul Hoque:
Exposing Reliability Degradation and Mitigation in Approximate DNNs Under Permanent Faults. IEEE Trans. Very Large Scale Integr. Syst. 31(4): 555-566 (2023) - [c27]Prasad Calyam, Mayank Kejriwal, Praveen Rao, Jianlin Cheng, Weichao Wang, Linquan Bai, V. Sriram Siddhardh Nadendla, Sanjay Madria, Sajal K. Das, Rohit Chadha, Khaza Anuarul Hoque, Kannappan Palaniappan, Kiran Neupane, Roshan Lal Neupane, Sankeerth Gandhari, Mukesh Singhal, Lotfi Ben Othmane, Meng Yu, Vijay Anand, Bharat K. Bhargava, Brett Robertson, Kerk F. Kee, Patrice Buzzanell, Natalie A. Bolton, Harsh Taneja:
Towards a Domain-Agnostic Knowledge Graph-as-a-Service Infrastructure for Active Cyber Defense with Intelligent Agents. AIPR 2023: 1-8 - [c26]Syed Tihaam Ahmad, Ayesha Siddique, Khaza Anuarul Hoque:
Security-Aware Approximate Spiking Neural Networks. DATE 2023: 1-6 - [c25]Ayesha Siddique, Khaza Anuarul Hoque:
Improving Reliability of Spiking Neural Networks through Fault Aware Threshold Voltage Optimization. DATE 2023: 1-6 - [c24]Ripan Kumar Kundu, Osama Yahia Elsaid, Prasad Calyam, Khaza Anuarul Hoque:
VR-LENS: Super Learning-based Cybersickness Detection and Explainable AI-Guided Deployment in Virtual Reality. IUI 2023: 819-834 - [c23]Ernest Bonnah, Khaza Anuarul Hoque:
QTWTL: Quality Aware Time Window Temporal Logic for Performance Monitoring. MEMOCODE 2023: 90-99 - [c22]Ernest Bonnah, Luan Viet Nguyen, Khaza Anuarul Hoque:
Model Checking Time Window Temporal Logic for Hyperproperties. MEMOCODE 2023: 100-110 - [c21]Ripan Kumar Kundu, Rifatul Islam, John Quarles, Khaza Anuarul Hoque:
LiteVR: Interpretable and Lightweight Cybersickness Detection using Explainable AI. VR 2023: 609-619 - [i24]Syed Tihaam Ahmad, Ayesha Siddique, Khaza Anuarul Hoque:
Security-Aware Approximate Spiking Neural Networks. CoRR abs/2301.05264 (2023) - [i23]Ayesha Siddique, Khaza Anuarul Hoque:
Improving Reliability of Spiking Neural Networks through Fault Aware Threshold Voltage Optimization. CoRR abs/2301.05266 (2023) - [i22]Ayesha Siddique, Khaza Anuarul Hoque:
Exposing Reliability Degradation and Mitigation in Approximate DNNs under Permanent Faults. CoRR abs/2301.07484 (2023) - [i21]Ayesha Siddique, Ripan Kumar Kundu, Gautam Raj Mode, Khaza Anuarul Hoque:
RobustPdM: Designing Robust Predictive Maintenance against Adversarial Attacks. CoRR abs/2301.10822 (2023) - [i20]Ripan Kumar Kundu, Osama Yahia Elsaid, Prasad Calyam, Khaza Anuarul Hoque:
VR-LENS: Super Learning-based Cybersickness Detection and Explainable AI-Guided Deployment in Virtual Reality. CoRR abs/2302.01985 (2023) - [i19]Ripan Kumar Kundu, Rifatul Islam, John Quarles, Khaza Anuarul Hoque:
LiteVR: Interpretable and Lightweight Cybersickness Detection using Explainable AI. CoRR abs/2302.03037 (2023) - [i18]Ernest Bonnah, Luan Viet Nguyen, Khaza Anuarul Hoque:
Model Checking Time Window Temporal Logic for Hyperproperties. CoRR abs/2308.02554 (2023) - [i17]Ernest Bonnah, Khaza Anuarul Hoque:
QTWTL: Quality Aware Time Window Temporal Logic for Performance Monitoring. CoRR abs/2308.05644 (2023) - 2022
- [j8]Ernest Bonnah, Khaza Anuarul Hoque:
Runtime Monitoring of Time Window Temporal Logic. IEEE Robotics Autom. Lett. 7(3): 5888-5895 (2022) - [j7]Samaikya Valluripally, Aniket Gulhane, Khaza Anuarul Hoque, Prasad Calyam:
Modeling and Defense of Social Virtual Reality Attacks Inducing Cybersickness. IEEE Trans. Dependable Secur. Comput. 19(6): 4127-4144 (2022) - [c20]Ayesha Siddique, Khaza Anuarul Hoque:
Is Approximation Universally Defensive Against Adversarial Attacks in Deep Neural Networks? DATE 2022: 364-369 - [c19]Ripan Kumar Kundu, Rifatul Islam, Prasad Calyam, Khaza Anuarul Hoque:
TruVR: Trustworthy Cybersickness Detection using Explainable Machine Learning. ISMAR 2022: 777-786 - [i16]Ripan Kumar Kundu, Rifatul Islam, Prasad Calyam, Khaza Anuarul Hoque:
TruVR: Trustworthy Cybersickness Detection using Explainable Machine Learning. CoRR abs/2209.05257 (2022) - 2021
- [c18]Naga Ramya Bhamidipati, Varsha Vakkavanthula, George Stafford, Masrik A. Dahir, Roshan Lal Neupane, Ernest Bonnah, Songjie Wang, J. V. R. Murthy, Khaza Anuarul Hoque, Prasad Calyam:
ClaimChain: Secure Blockchain Platform for Handling Insurance Claims Processing. Blockchain 2021: 55-64 - [c17]Samaikya Valluripally, Vaibhav Akashe, Michael Fisher, David Falana, Khaza Anuarul Hoque, Prasad Calyam:
Rule-based Adaptations to Control Cybersickness in Social Virtual Reality Learning Environments. FiCloud 2021: 350-358 - [c16]Ayesha Siddique, Kanad Basu, Khaza Anuarul Hoque:
Exploring Fault-Energy Trade-offs in Approximate DNN Hardware Accelerators. ISQED 2021: 343-348 - [i15]Ayesha Siddique, Kanad Basu, Khaza Anuarul Hoque:
Exploring Fault-Energy Trade-offs in Approximate DNN Hardware Accelerators. CoRR abs/2101.02860 (2021) - [i14]Samaikya Valluripally, Vaibhav Akashe, Michael Fisher, David Falana, Khaza Anuarul Hoque, Prasad Calyam:
Rule-based Adaptations to Control Cybersickness in Social Virtual Reality Learning Environments. CoRR abs/2108.12315 (2021) - [i13]Ayesha Siddique, Khaza Anuarul Hoque:
Is Approximation Universally Defensive Against Adversarial Attacks in Deep Neural Networks? CoRR abs/2112.01555 (2021) - 2020
- [c15]Gautam Raj Mode, Khaza Anuarul Hoque:
Adversarial Examples in Deep Learning for Multivariate Time Series Regression. AIPR 2020: 1-10 - [c14]Samaikya Valluripally, Aniket Gulhane, Reshmi Mitra, Khaza Anuarul Hoque, Prasad Calyam:
Attack Trees for Security and Privacy in Social Virtual Reality Learning Environments. CCNC 2020: 1-9 - [c13]Gautam Raj Mode, Khaza Anuarul Hoque:
Crafting Adversarial Examples for Deep Learning Based Prognostics. ICMLA 2020: 467-472 - [c12]Shamik Kundu, Ahmet Soyyigit, Khaza Anuarul Hoque, Kanad Basu:
High-level Modeling of Manufacturing Faults in Deep Neural Network Accelerators. IOLTS 2020: 1-4 - [c11]Gautam Raj Mode, Prasad Calyam, Khaza Anuarul Hoque:
Impact of False Data Injection Attacks on Deep Learning Enabled Predictive Analytics. NOMS 2020: 1-7 - [i12]Shamik Kundu, Ahmet Soyyigit, Khaza Anuarul Hoque, Kanad Basu:
High-level Modeling of Manufacturing Faults in Deep Neural Network Accelerators. CoRR abs/2006.03616 (2020) - [i11]Gautam Raj Mode, Khaza Anuarul Hoque:
Crafting Adversarial Examples for Deep Learning Based Prognostics (Extended Version). CoRR abs/2009.10149 (2020) - [i10]Gautam Raj Mode, Khaza Anuarul Hoque:
Adversarial Examples in Deep Learning for Multivariate Time Series Regression. CoRR abs/2009.11911 (2020)
2010 – 2019
- 2019
- [j6]Khaza Anuarul Hoque, Otmane Aït Mohamed, Yvon Savaria:
Dependability modeling and optimization of triple modular redundancy partitioning for SRAM-based FPGAs. Reliab. Eng. Syst. Saf. 182: 107-119 (2019) - [c10]Aniket Gulhane, Akhil Vyas, Reshmi Mitra, Roland Oruche, Gabriela Hoefer, Samaikya Valluripally, Prasad Calyam, Khaza Anuarul Hoque:
Security, Privacy and Safety Risk Assessment for Virtual Reality Learning Environment Applications. CCNC 2019: 1-9 - [i9]Khaza Anuarul Hoque, Nathalie Cauchi, Alessandro Abate:
Analyzing Occupancy-Driven Thermal Dynamics in Smart Buildings. CoRR abs/1903.06123 (2019) - [i8]Gautam Raj Mode, Prasad Calyam, Khaza Anuarul Hoque:
False Data Injection Attacks in Internet of Things and Deep Learning enabled Predictive Analytics. CoRR abs/1910.01716 (2019) - [i7]Samaikya Valluripally, Aniket Gulhane, Reshmi Mitra, Khaza Anuarul Hoque, Prasad Calyam:
Attack Trees for Security and Privacy in Social Virtual Reality Learning Environments. CoRR abs/1911.03563 (2019) - 2018
- [j5]Muhammad Usama Sardar, Nida Afaq, Osman Hasan, Khaza Anuarul Hoque:
Towards Probabilistic Formal Analysis of SATS-Simultaneously Moving Aircraft (SATS-SMA). J. Autom. Reason. 60(1): 85-105 (2018) - [j4]Luan Viet Nguyen, Khaza Anuarul Hoque, Stanley Bak, Steven Drager, Taylor T. Johnson:
Cyber-Physical Specification Mismatches. ACM Trans. Cyber Phys. Syst. 2(4): 23:1-23:26 (2018) - [j3]Nathalie Cauchi, Khaza Anuarul Hoque, Mariëlle Stoelinga, Alessandro Abate:
Maintenance of Smart Buildings using Fault Trees. ACM Trans. Sens. Networks 14(3-4): 28:1-28:25 (2018) - [c9]Alessandro Abate, Carlos E. Budde, Nathalie Cauchi, Arnaud van Harmelen, Khaza Anuarul Hoque, Mariëlle Stoelinga:
Modelling Smart Buildings Using Fault Maintenance Trees. EPEW 2018: 110-125 - [i6]Nathalie Cauchi, Khaza Anuarul Hoque, Alessandro Abate, Mariëlle Stoelinga:
Efficient Probabilistic Model Checking of Smart Building Maintenance using Fault Maintenance Trees. CoRR abs/1801.04263 (2018) - [i5]Khaza Anuarul Hoque, Otmane Aït Mohamed, Yvon Savaria:
Formal Dependability Modeling and Optimization of Scrubbed-Partitioned TMR for SRAM-based FPGAs. CoRR abs/1801.04886 (2018) - [i4]Nathalie Cauchi, Khaza Anuarul Hoque, Mariëlle Stoelinga, Alessandro Abate:
Maintenance of Smart Buildings using Fault Trees. CoRR abs/1806.05174 (2018) - [i3]Luan Viet Nguyen, Khaza Anuarul Hoque, Stanley Bak, Steven Drager, Taylor T. Johnson:
Cyber-Physical Specification Mismatches. CoRR abs/1806.09224 (2018) - [i2]Aniket Gulhane, Akhil Vyas, Reshmi Mitra, Roland Oruche, Gabriela Hoefer, Samaikya Valluripally, Prasad Calyam, Khaza Anuarul Hoque:
Security, Privacy and Safety Risk Assessment for Virtual Reality Learning Environment Applications. CoRR abs/1811.12476 (2018) - 2017
- [j2]Khaza Anuarul Hoque, Otmane Aït Mohamed, Yvon Savaria:
Formal analysis of SEU mitigation for early dependability and performability analysis of FPGA-based space applications. J. Appl. Log. 25: 47-68 (2017) - [c8]Umair Siddique, Khaza Anuarul Hoque, Taylor T. Johnson:
Formal specification and dependability analysis of optical communication networks. DATE 2017: 1564-1569 - [c7]Nathalie Cauchi, Khaza Anuarul Hoque, Alessandro Abate, Mariëlle Stoelinga:
Efficient probabilistic model checking of smart building maintenance using fault maintenance trees. BuildSys 2017: 24:1-24:10 - [i1]Khaza Anuarul Hoque, Otmane Aït Mohamed, Yvon Savaria:
Formal Analysis of SEU Mitigation for Early Dependability and Performability Analysis of FPGA-based Space Applications. CoRR abs/1701.03836 (2017) - 2016
- [c6]Muhammad Usama Sardar, Nida Afaq, Khaza Anuarul Hoque, Taylor T. Johnson, Osman Hasan:
Probabilistic Formal Verification of the SATS Concept of Operation. NFM 2016: 191-205 - [c5]Marwan Ammar, Khaza Anuarul Hoque, Otmane Aït Mohamed:
Formal analysis of fault tree using probabilistic model checking: A solar array case study. SysCon 2016: 1-6 - [c4]Khaza Anuarul Hoque, Otmane Aït Mohamed, Yvon Savaria:
Applying formal verification to early assessment of FPGA-based aerospace applications: Methodology and experience. SysCon 2016: 1-6 - 2015
- [c3]Khaza Anuarul Hoque, Otmane Aït Mohamed, Yvon Savaria:
Towards an accurate reliability, availability and maintainability analysis approach for satellite systems based on probabilistic model checking. DATE 2015: 1635-1640 - 2014
- [c2]Khaza Anuarul Hoque, Otmane Aït Mohamed, Yvon Savaria, Claude Thibeault:
Probabilistic model checking based DAL analysis to optimize a combined TMR-blind-scrubbing mitigation technique for FPGA-based aerospace applications. MEMOCODE 2014: 175-184 - 2013
- [c1]Khaza Anuarul Hoque, Otmane Aït Mohamed, Yvon Savaria, Claude Thibeault:
Early Analysis of Soft Error Effects for Aerospace Applications Using Probabilistic Model Checking. FTSCS 2013: 54-70 - 2012
- [j1]Khaza Anuarul Hoque, Otmane Aït Mohamed, Sa'ed Abed, Mounir Boukadoum:
MDG-SAT: an automated methodology for efficient safety checking. Int. J. Crit. Comput. Based Syst. 3(1/2): 4-25 (2012)
Coauthor Index
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last updated on 2024-12-13 19:11 CET by the dblp team
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