| Robust physical-world attacks on deep learning visual classification K Eykholt, I Evtimov, E Fernandes, B Li, A Rahmati, C Xiao, A Prakash, ... Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 1351* | 2018 |
| Physical adversarial examples for object detectors D Song, K Eykholt, I Evtimov, E Fernandes, B Li, A Rahmati, F Tramer, ... 12th {USENIX} Workshop on Offensive Technologies ({WOOT} 18), 2018 | 188 | 2018 |
| Internet of things security research: A rehash of old ideas or new intellectual challenges? E Fernandes, A Rahmati, K Eykholt, A Prakash IEEE Security & Privacy 15 (4), 79-84, 2017 | 83 | 2017 |
| Note on attacking object detectors with adversarial stickers K Eykholt, I Evtimov, E Fernandes, B Li, D Song, T Kohno, A Rahmati, ... arXiv preprint arXiv:1712.08062, 2017 | 24 | 2017 |
| Tyche: A risk-based permission model for smart homes A Rahmati, E Fernandes, K Eykholt, A Prakash 2018 IEEE Cybersecurity Development (SecDev), 29-36, 2018 | 20 | 2018 |
| Robust physical-world attacks on deep learning models (2017) K Eykholt, I Evtimov, E Fernandes, B Li, A Rahmati, C Xiao, A Prakash, ... arXiv preprint arXiv:1707.08945, 2018 | 8 | 2018 |
| Tools for active and passive network side-channel detection for web applications M Lescisin, Q Mahmoud 12th {USENIX} Workshop on Offensive Technologies ({WOOT} 18), 2018 | 6 | 2018 |
| Tyche: Risk-based permissions for smart home platforms A Rahmati, E Fernandes, K Eykholt, A Prakash arXiv preprint arXiv:1801.04609, 2018 | 5 | 2018 |
| Can Attention Masks Improve Adversarial Robustness? P Vaishnavi, T Cong, K Eykholt, A Prakash, A Rahmati International Workshop on Engineering Dependable and Secure Machine Learning …, 2020 | 4 | 2020 |
| Ensuring authorized updates in multi-user database-backed applications K Eykholt, A Prakash, B Mozafari 26th {USENIX} Security Symposium ({USENIX} Security 17), 1445-1462, 2017 | 4 | 2017 |
| Robust physical-world attacks on deep learning visual classification K Eykholt, I Evtimov, E Fernandes, B Li, A Rahmati, C Xiao, A Prakash, ... Unknown Journal, 2017 | 3 | 2017 |
| Robust classification using robust feature augmentation K Eykholt, S Gupta, A Prakash, A Rahmati, P Vaishnavi, H Zheng arXiv preprint arXiv:1905.10904, 2019 | 2 | 2019 |
| Designing Adversarially Resilient Classifiers using Resilient Feature Engineering K Eykholt, A Prakash arXiv preprint arXiv:1812.06626, 2018 | 2 | 2018 |
| Heimdall: A Privacy-Respecting Implicit Preference Collection Framework A Rahmati, E Fernandes, K Eykholt, X Chen, A Prakash Proceedings of the 15th Annual International Conference on Mobile Systems …, 2017 | 2 | 2017 |
| Designing and Evaluating Physical Adversarial Attacks and Defenses for Machine Learning Algorithms K Eykholt | 1 | 2019 |
| Transferable Adversarial Robustness using Adversarially Trained Autoencoders. P Vaishnavi, K Eykholt, A Prakash, A Rahmati CoRR, 2019 | 1 | 2019 |
| Separation of Powers in Federated Learning PC Cheng, K Eykholt, Z Gu, H Jamjoom, KR Jayaram, E Valdez, A Verma arXiv preprint arXiv:2105.09400, 2021 | | 2021 |
| Adaptive Verifiable Training Using Pairwise Class Similarity S Wang, K Eykholt, T Lee, J Jang, I Molloy arXiv preprint arXiv:2012.07887, 2020 | | 2020 |
| Towards Model-Agnostic Adversarial Defenses using Adversarially Trained Autoencoders P Vaishnavi, K Eykholt, A Prakash, A Rahmati arXiv preprint arXiv:1909.05921, 2019 | | 2019 |
| Internet of Things Security Research E Fernandes, A Rahmati, K Eykholt, A Prakash Looking for the BEST Tech Job for You?, 15, 2017 | | 2017 |
