| Mini-me, you complete me! data-driven drone security via dnn-based approximate computing A Ding, P Murthy, L Garcia, P Sun, M Chan, S Zonouz Proceedings of the 24th International Symposium on Research in Attacks …, 2021 | 22 | 2021 |
| Reverse engineering and retrofitting robotic aerial vehicle control firmware using dispatch T Kim, A Ding, S Etigowni, P Sun, J Chen, L Garcia, S Zonouz, D Xu, ... Proceedings of the 20th Annual International Conference on Mobile Systems …, 2022 | 16 | 2022 |
| Modelguard: Information-theoretic defense against model extraction attacks M Tang, A Dai, L DiValentin, A Ding, A Hass, NZ Gong, Y Chen 33rd USENIX Security Symposium (Security 2024), 2024 | 10 | 2024 |
| Privacy-preserving machine learning training based on homomorphic encryption using executable file packages in an untrusted environment A Hassanzadeh, NH Liberman, A Ding, MB Salem US Patent App. 17/383,314, 2023 | 9 | 2023 |
| Get your cyber-physical tests done! data-driven vulnerability assessment of robotic aerial vehicles A Ding, M Chan, A Hass, NO Tippenhauer, S Ma, S Zonouz 2023 53rd Annual IEEE/IFIP International Conference on Dependable Systems …, 2023 | 8* | 2023 |
| Privacy-preserving collaborative machine learning training using distributed executable file packages in an untrusted environment A Hassanzadeh, NH Liberman, A Ding, MB Salem US Patent App. 17/356,447, 2022 | 7 | 2022 |
| FADE: enabling large-scale federated adversarial training on resource-constrained edge devices M Tang, J Zhang, M Ma, L DiValentin, A Ding, A Hassanzadeh, H Li, ... | 6 | 2022 |
| Privacy preserving cooperative learning in untrusted environments A Ding, A Hassanzadeh US Patent App. 17/695,820, 2022 | 5 | 2022 |
| Resource-aware dnn partitioning for privacy-sensitive edge-cloud systems A Ding, A Hass, M Chan, N Sehatbakhsh, S Zonouz International Conference on Neural Information Processing, 188-201, 2023 | 4 | 2023 |
| Virtual Keymysteries Unveiled: Detecting Keystrokes in VR with External Side-Channels H Khalili, A Chen, T Papaiakovou, T Jacques, HJ Chien, C Liu, A Ding, ... 2024 IEEE Security and Privacy Workshops (SPW), 260-266, 2024 | 2 | 2024 |
| Trustworthy cyber-physical systems via physics-aware and AI-powered security A Ding Rutgers The State University of New Jersey, School of Graduate Studies, 2022 | 2 | 2022 |
| SYSTEMS AND METHODS FOR DEFENDING AN ARTIFICIAL INTELLIGENCE MODEL AGAINST ADVERSARIAL INPUT L Divalentin, C Liu, A Ding, M Ben Salem US Patent App. 18/199,360, 2024 | | 2024 |
| FedProphet: Memory-Efficient Federated Adversarial Training via Theoretic-Robustness and Low-Inconsistency Cascade Learning M Tang, Y Wang, J Zhang, L DiValentin, A Ding, A Hass, Y Chen, H Li arXiv preprint arXiv:2409.08372, 2024 | | 2024 |
| Automated cybersecurity vulnerability prioritization A Ding, H Binyamini, G Engelberg, LW DiValentin, BG McCarty, D Klein, ... US Patent App. 18/409,916, 2024 | | 2024 |
| Build a Computationally Efficient Strong Defense Against Adversarial Example Attacks. C Liu, L DiValentin, A Ding, MB Salem ICISSP, 358-365, 2024 | | 2024 |
| FADE: Enabling Federated Adversarial Training on Heterogeneous Resource-Constrained Edge Devices M Tang, J Zhang, M Ma, L DiValentin, A Ding, A Hassanzadeh, H Li, ... arXiv preprint arXiv:2209.03839, 2022 | | 2022 |
| Enhancement of Attack Detection Technology using AI with Synthetic-Log Generation T Yamamoto, T Nakai, R Otsuka, Y Wang, KJ Kim, T Koike-Akino, ... 2022 Symposium on Cryptography and Information Security, 2022 | | 2022 |
