Mini-Me, You Complete Me! Data-Driven Drone Security via DNN-based Approximate Computing. - Aolin Ding; Praveen Murthy; Luis Garcia 001; Pengfei Sun; Matthew Chan; Saman A. Zonouz (RAID, 2021)

Reverse engineering and retrofitting robotic aerial vehicle control firmware using dispatch. - Taegyu Kim; Aolin Ding; Sriharsha Etigowni; Pengfei Sun; Jizhou Chen; Luis Garcia 001; Saman A. Zonouz; Dongyan Xu; Dave (Jing) Tian (MobiSys, 2022)

FADE: Enabling Large-Scale Federated Adversarial Training on Resource-Constrained Edge Devices. - Minxue Tang; Jianyi Zhang; Mingyuan Ma; Louis DiValentin; Aolin Ding; Amin Hassanzadeh; Hai Helen Li; Yiran Chen 001 (CoRR, 2022)

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 A. Zonouz (DSN, 2023)

Resource-Aware DNN Partitioning for Privacy-Sensitive Edge-Cloud Systems. - Aolin Ding; Amin Hass; Matthew Chan; Nader Sehatbakhsh; Saman A. Zonouz (ICONIP (5), 2023)

An Empirical DNN Pruning Approach Against Membership Inference Attacks. - Matthew Chan; Aolin Ding; Amin Hass; Saman A. Zonouz (ADIoT, 2024)

Build a Computationally Efficient Strong Defense Against Adversarial Example Attacks. - Changwei Liu; Louis DiValentin; Aolin Ding; Malek Ben Salem (ICISSP, 2024)

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 A. Zonouz; Nader Sehatbakhsh (SP (Workshops), 2024)

ModelGuard: Information-Theoretic Defense Against Model Extraction Attacks. - Minxue Tang; Anna Dai; Louis DiValentin; Aolin Ding; Amin Hass; Neil Zhenqiang Gong; Yiran Chen 001; Hai (Helen) Li (USENIX Security Symposium, 2024)

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 001; Hai (Helen) Li (CoRR, 2024)

Proactive Privacy Amnesia for Large Language Models: Safeguarding PII with Negligible Impact on Model Utility. - Martin Kuo; Jingyang Zhang; Jianyi Zhang; Minxue Tang; Louis DiValentin; Aolin Ding; Jingwei Sun 002; William Chen; Amin Hass; Tianlong Chen 001; Yiran Chen 001; Hai Li 001 (ICLR, 2025)

H-CoT: Hijacking the Chain-of-Thought Safety Reasoning Mechanism to Jailbreak Large Reasoning Models, Including OpenAI o1/o3, DeepSeek-R1, and Gemini 2.0 Flash Thinking. - Martin Kuo; Jianyi Zhang; Aolin Ding; Qinsi Wang; Louis DiValentin; Yujia Bao; Wei Wei 019; Hai Li 001; Yiran Chen 001 (CoRR, 2025)

SafeTy Reasoning Elicitation Alignment for Multi-Turn Dialogues. - Martin Kuo; Jianyi Zhang; Aolin Ding; Louis DiValentin; Amin Hass; Benjamin F. Morris III; Isaac Jacobson; Randolph Linderman; James Kiessling; Nicolas Ramos; Bhavna Gopal; Maziyar Baran Pouyan; et al. (CoRR, 2025)