Kevin Eykholt
Kevin Eykholt
Verifierad e-postadress på ibm.com
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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
1478*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
2162018
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
882017
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
262017
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
212018
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
92018
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
52020
Tyche: Risk-based permissions for smart home platforms
A Rahmati, E Fernandes, K Eykholt, A Prakash
arXiv preprint arXiv:1801.04609, 2018
52018
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
42017
Designing Adversarially Resilient Classifiers using Resilient Feature Engineering
K Eykholt, A Prakash
arXiv preprint arXiv:1812.06626, 2018
32018
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
32017
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
22021
Robust classification using robust feature augmentation
K Eykholt, S Gupta, A Prakash, A Rahmati, P Vaishnavi, H Zheng
arXiv preprint arXiv:1905.10904, 2019
22019
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
22017
Designing and Evaluating Physical Adversarial Attacks and Defenses for Machine Learning Algorithms
K Eykholt
12019
Transferable Adversarial Robustness using Adversarially Trained Autoencoders.
P Vaishnavi, K Eykholt, A Prakash, A Rahmati
CoRR, 2019
12019
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
SecDev 2018
V Mohan, L ben Othmane, A Rahmati, E Fernandes, K Eykholt, W Snavely, ...
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Artiklar 1–20