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Aolin Ding
Aolin Ding
Research Associate Principal, Accenture
Verified email at accenture.com - Homepage
Title
Cited by
Cited by
Year
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
182021
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
122022
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, ...
52022
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
42022
MODELGUARD: Information-Theoretic Defense Against Model Extraction Attacks
M Tang, A Dai, L DiValentin, A Ding, A Hass, NZ Gong, Y Chen
4
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
3*2023
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
22023
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
22023
Privacy preserving cooperative learning in untrusted environments
A Ding, A Hassanzadeh
US Patent App. 17/695,820, 2022
22022
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
22022
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
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, ...
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