Conference Papers
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Leaking Through the Physics: Covert Cyber-Physical Data Exfiltration Through Unobserved Physics
Matthew Chan, Luis Garcia, Nathaniel Snyder, Marcus Lucas, Aolin Ding, Amin Hass, Oleg Sokolsky, James Weimer, Saman Zonouz and Mani Srivastava
The 2nd EAI International Conference on Security and Privacy in Cyber-Physical Systems and Smart Vehicles (SmartSP 2024)
New Orleans, LA, Nov 2024 (Acceptance Rate: N/A) -
ModelGuard: Information-Theoretic Defense Against Model Extraction Attacks
Artifact Available, Functional, Reproduced
Minxue Tang, Anna Dai, Louis DiValentin, Aolin Ding, Amin Hass, Yiran Chen, Neil Zhenqiang Gong, Hai “Helen” Li
The 33rd USENIX Security Symposium (USENIX Security 2024)
Philadelphia, PA, Aug 2024 (Acceptance Rate: 19.0%) -
Virtual Keymysteries Unveiled: Detecting Keystrokes in VR with External Side-Channels
Hossein Khalili, Alexander Chen, Theodoros Papaiakovou, Timothy Jacques, Hao-Jen Chien, Changwei Liu, Aolin Ding, Amin Hass, Saman Zonouz, Nader Sehatbakhsh
The 8th IEEE/ACM Workshop on the Internet of Safe Things (SafeThings 2024)
San Francisco, CA, May 2024 (Acceptance Rate: 59.0%) -
Build a Computationally Efficient Strong Defense against Adversarial Example Attacks
Changwei Liu, Louis DiValentin, Aolin Ding, Malek Ben Salem
The 10th International Conference on Information Systems Security and Privacy (ICISSP 2024)
Rome, Italy, Feb 2024 (Acceptance Rate: 36.0% - Short Paper) -
Resource-aware DNN Partitioning for Privacy-sensitive Edge-Cloud Systems
Aolin Ding, Amin Hass, Matthew Chan, Nader Sehatbakhsh, Saman Zonouz
The 30th International Conference on Neural Information Processing (ICONIP 2023)
Changsha, China, Nov 2023 (Acceptance Rate: 20.1% - Full Paper) -
Get Your Cyber-Physical Tests Done! Data-Driven Vulnerability Assessment of Robotic Aerial Vehicles
Aolin Ding, Matthew Chan, Amin Hass, Nils Ole Tippenhauer, Shiqing Ma, Saman Zonouz
The 53rd Annual IEEE/IFIP International Conference on Dependable Systems and Network (DSN 2023)
Porto, Portugal, Jun 2023 (Acceptance Rate: 20.0%) -
Reverse Engineering and Retrofitting Robotic Aerial Vehicle Control Firmware using DisPatch
Taegyu Kim, Aolin Ding, Sriharsha Etigowni, Pengfei Sun, Jizhou Chen, Luis Garcia, Saman Zonouz, Dongyan Xu, Dave (Jing) Tian
The 20th ACM International Conference on Mobile Systems, Applications, and Services (MobiSys 2022)
Portland, OR, Jun 2022 (Acceptance Rate: 21.6%) -
Enhancement of Attack Detection Technology using AI with Synthetic-Log Generation
Takumi Yamamoto, Tsunato Nakai, Ruri Otsuka, Ye Wang, Kyeong Jin Kim, Toshiaki Koike-Akino, Iván Sanz Gorrachategui, Aolin Ding, Mamoru Abe, Ayako Yoshimura, and Kiyoto Kawauchi
The 39th Symposium on Cryptography and Information Security (SCIS 2022)
Osaka, Japan, Jan 2022 (Acceptance Rate: N/A) -
Mini-me, You Complete Me! Data-driven Drone Security via DNN-based Approximate Computing
Aolin Ding, Praveen Murthy, Luis Garcia, Pengfei Sun, Matthew Chan, Saman Zonouz
The 24th ACM International Symposium on Research in Attacks, Intrusions and Defenses (RAID 2021)
San Sebastian, Spain, Oct 2021 (Acceptance Rate: 23.2%)
Preprints
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FedProphet: Memory-Efficient Federated Adversarial Training via Theoretic-Robustness and Low-Inconsistency Cascade Learning
Minxue Tang, Yitu Wang, Jingyang Zhang, Louis DiValentin, Aolin Ding, Amin Hass, Yiran Chen, Hai Li
arXiv preprint - arXiv:2409.08372 (2024) -
FADE: Enabling Large-Scale Federated Adversarial Training on Resource-Constrained Edge Device
Minxue Tang, Jianyi Zhang, Mingyuan Ma, Louis DiValentin, Aolin Ding, Amin Hass, Hai Li, Yiran Chen
arXiv preprint - arXiv:2209.03839 (2022)
Posters
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Protect Controller Software Using Approximate Computing and Semantic Matching-based Binary Patching
Aolin Ding, Pengfei Sun, Saman Zonouz
Cyber Resilient Energy Delivery Consortium (CREDC) Annual Industrial Workshop, Houston, TX, Feb 2020 -
PLC Code Verification and Neural Network Approximation
Aolin Ding, Sriharsha Etigowni, Saman Zonouz
Cyber Resilient Energy Delivery Consortium (CREDC) Annual Industrial Workshop, Tempe, AZ, Mar 2017
Patents
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Automated Cybersecurity Vulnerability Prioritization
Aolin Ding, Hodaya Binyamini, Gal Engelberg, Louis William Divalentin, Benjamin Glen Mccarty, Dan Klein, Amin Hass
US Patent App. 18/409,916, 2024 -
Privacy-preserving Machine Learning Training Based on Homomorphic Encryption using Executable File Packages in an Untrusted Environment
Amin Hassanzadeh, Neil Hayden Liberman, Aolin Ding, Malek Ben Salem
US Patent App. 17/383,314, 2023 -
Privacy Preserving Cooperative Learning in Untrusted Environments
Aolin Ding, Amin Hassanzadeh
US Patent App. 17/695,820, 2022 -
Privacy-preserving Collaborative Machine Learning Training using Distributed Executable File Packages in an Untrusted Environment
Amin Hassanzadeh, Neil Hayden Liberman, Aolin Ding, Malek Ben Salem
US Patent App. 17/356,447, 2022