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2020 – today
- 2024
[j2]Pratik Vaishnavi, Kevin Eykholt, Amir Rahmati:
A Study of the Effects of Transfer Learning on Adversarial Robustness. Trans. Mach. Learn. Res. 2024 (2024)- [c15]Pau-Chen Cheng
, Kevin Eykholt, Zhongshu Gu, Hani Jamjoom, K. R. Jayaram, Enriquillo Valdez, Ashish Verma:
DeTA: Minimizing Data Leaks in Federated Learning via Decentralized and Trustworthy Aggregation. EuroSys 2024: 219-235 - [i16]Kevin Eykholt, Farhan Ahmed, Pratik Vaishnavi, Amir Rahmati:
Taking off the Rose-Tinted Glasses: A Critical Look at Adversarial ML Through the Lens of Evasion Attacks. CoRR abs/2410.12076 (2024) - 2023
- [c14]Isaiah J. King, Xiaokui Shu, Jiyong Jang, Kevin Eykholt, Taesung Lee, H. Howie Huang:
EdgeTorrent: Real-time Temporal Graph Representations for Intrusion Detection. RAID 2023: 77-91 - [c13]Nathalie Baracaldo, Farhan Ahmed, Kevin Eykholt, Yi Zhou, Shriti Priya, Taesung Lee, Swanand Kadhe, Mike Tan, Sridevi Polavaram, Sterling Suggs, Yuyang Gao, David Slater:
Benchmarking the Effect of Poisoning Defenses on the Security and Bias of Deep Learning Models. SP (Workshops) 2023: 45-56 - [c12]Kevin Eykholt, Taesung Lee, Douglas Lee Schales, Jiyong Jang, Ian M. Molloy, Masha Zorin:
URET: Universal Robustness Evaluation Toolkit (for Evasion). USENIX Security Symposium 2023: 3817-3833 - [i15]Kevin Eykholt, Taesung Lee, Douglas Lee Schales, Jiyong Jang, Ian M. Molloy, Masha Zorin:
URET: Universal Robustness Evaluation Toolkit (for Evasion). CoRR abs/2308.01840 (2023) - 2022
- [c11]Pratik Vaishnavi, Kevin Eykholt, Amir Rahmati:
Accelerating Certified Robustness Training via Knowledge Transfer. NeurIPS 2022 - [c10]Farhan Ahmed, Pratik Vaishnavi, Kevin Eykholt, Amir Rahmati:
Ares: A System-Oriented Wargame Framework for Adversarial ML. SP (Workshops) 2022: 73-79 - [c9]Pratik Vaishnavi, Kevin Eykholt, Amir Rahmati:
Transferring Adversarial Robustness Through Robust Representation Matching. USENIX Security Symposium 2022: 2083-2098 - [i14]Pratik Vaishnavi, Kevin Eykholt, Amir Rahmati:
Transferring Adversarial Robustness Through Robust Representation Matching. CoRR abs/2202.09994 (2022) - [i13]Farhan Ahmed, Pratik Vaishnavi, Kevin Eykholt, Amir Rahmati:
Ares: A System-Oriented Wargame Framework for Adversarial ML. CoRR abs/2210.12952 (2022) - [i12]Pratik Vaishnavi, Kevin Eykholt, Amir Rahmati:
Accelerating Certified Robustness Training via Knowledge Transfer. CoRR abs/2210.14283 (2022) - 2021
- [c8]Shiqi Wang, Kevin Eykholt, Taesung Lee, Jiyong Jang, Ian M. Molloy:
Adaptive Verifiable Training Using Pairwise Class Similarity. AAAI 2021: 10201-10209 - [c7]Pau-Chen Cheng, Kevin Eykholt, Zhongshu Gu, Hani Jamjoom, K. R. Jayaram, Enriquillo Valdez, Ashish Verma:
Separation of Powers in Federated Learning (Poster Paper). ResilientFL 2021: 16-18 - [i11]Pau-Chen Cheng, Kevin Eykholt, Zhongshu Gu, Hani Jamjoom, K. R. Jayaram, Enriquillo Valdez, Ashish Verma:
Separation of Powers in Federated Learning. CoRR abs/2105.09400 (2021) - 2020
- [i10]Shiqi Wang, Kevin Eykholt, Taesung Lee, Jiyong Jang, Ian M. Molloy:
Adaptive Verifiable Training Using Pairwise Class Similarity. CoRR abs/2012.07887 (2020)
2010 – 2019
- 2019
- [b1]Kevin Eykholt:
Designing and Evaluating Physical Adversarial Attacks and Defenses for Machine Learning Algorithms. University of Michigan, USA, 2019 - [i9]Kevin Eykholt, Swati Gupta, Atul Prakash, Haizhong Zheng:
Robust Classification using Robust Feature Augmentation. CoRR abs/1905.10904 (2019) - [i8]Pratik Vaishnavi, Kevin Eykholt, Atul Prakash, Amir Rahmati:
Transferable Adversarial Robustness using Adversarially Trained Autoencoders. CoRR abs/1909.05921 (2019) - [i7]Pratik Vaishnavi, Tianji Cong, Kevin Eykholt, Atul Prakash, Amir Rahmati:
Can Attention Masks Improve Adversarial Robustness? CoRR abs/1911.11946 (2019) - 2018
- [c6]Kevin Eykholt, Ivan Evtimov, Earlence Fernandes, Bo Li, Amir Rahmati, Chaowei Xiao, Atul Prakash, Tadayoshi Kohno, Dawn Song:
Robust Physical-World Attacks on Deep Learning Visual Classification. CVPR 2018: 1625-1634 - [c5]Amir Rahmati, Earlence Fernandes, Kevin Eykholt, Atul Prakash:
Tyche: A Risk-Based Permission Model for Smart Homes. SecDev 2018: 29-36 - [c4]Dawn Song, Kevin Eykholt, Ivan Evtimov, Earlence Fernandes, Bo Li, Amir Rahmati, Florian Tramèr, Atul Prakash, Tadayoshi Kohno:
Physical Adversarial Examples for Object Detectors. WOOT @ USENIX Security Symposium 2018 - [i6]Amir Rahmati, Earlence Fernandes, Kevin Eykholt, Atul Prakash:
Tyche: Risk-Based Permissions for Smart Home Platforms. CoRR abs/1801.04609 (2018) - [i5]Kevin Eykholt, Ivan Evtimov, Earlence Fernandes, Bo Li, Amir Rahmati, Florian Tramèr, Atul Prakash, Tadayoshi Kohno, Dawn Song:
Physical Adversarial Examples for Object Detectors. CoRR abs/1807.07769 (2018) - [i4]Kevin Eykholt, Atul Prakash:
Designing Adversarially Resilient Classifiers using Resilient Feature Engineering. CoRR abs/1812.06626 (2018) - 2017
- [j1]Earlence Fernandes, Amir Rahmati, Kevin Eykholt, Atul Prakash:
Internet of Things Security Research: A Rehash of Old Ideas or New Intellectual Challenges? IEEE Secur. Priv. 15(4): 79-84 (2017) - [c3]Amir Rahmati, Earlence Fernandes, Kevin Eykholt, Xinheng Chen, Atul Prakash:
Heimdall: A Privacy-Respecting Implicit Preference Collection Framework. MobiSys 2017: 453-463 - [c2]Kevin Eykholt, Atul Prakash, Barzan Mozafari:
Ensuring Authorized Updates in Multi-user Database-Backed Applications. USENIX Security Symposium 2017: 1445-1462 - [i3]Earlence Fernandes, Amir Rahmati, Kevin Eykholt, Atul Prakash:
Internet of Things Security Research: A Rehash of Old Ideas or New Intellectual Challenges? CoRR abs/1705.08522 (2017) - [i2]Ivan Evtimov, Kevin Eykholt, Earlence Fernandes, Tadayoshi Kohno, Bo Li, Atul Prakash, Amir Rahmati, Dawn Song:
Robust Physical-World Attacks on Machine Learning Models. CoRR abs/1707.08945 (2017) - [i1]Kevin Eykholt, Ivan Evtimov, Earlence Fernandes, Bo Li, Dawn Song, Tadayoshi Kohno, Amir Rahmati, Atul Prakash, Florian Tramèr:
Note on Attacking Object Detectors with Adversarial Stickers. CoRR abs/1712.08062 (2017) - 2013
- [c1]Kevin Eykholt, Marco F. Duarte:
A Matlab toolbox for visualization of image manifolds. GlobalSIP 2013: 633
Coauthor Index
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last updated on 2024-11-25 23:40 CET by the dblp team
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