Kevin Eykholt

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 31

Top Topics

Learning Models

Knowledge Transfer

Greater Robustness

Visual Classification

Top Venues

USENIX Security Symposium

Publications

Pratik Vaishnavi, Kevin Eykholt, Amir Rahmati
A Study of the Effects of Transfer Learning on Adversarial Robustness. Trans. Mach. Learn. Res. 2024 (2024)
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)
Kevin Eykholt, Taesung Lee, Douglas Lee Schales, Jiyong Jang, Ian M. Molloy, Masha Zorin
URET: Universal Robustness Evaluation Toolkit (for Evasion). CoRR (2023)
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)
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)
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)
Pratik Vaishnavi, Kevin Eykholt, Amir Rahmati
Transferring Adversarial Robustness Through Robust Representation Matching. CoRR (2022)
Farhan Ahmed, Pratik Vaishnavi, Kevin Eykholt, Amir Rahmati
Ares: A System-Oriented Wargame Framework for Adversarial ML. SP Workshops (2022)
Pratik Vaishnavi, Kevin Eykholt, Amir Rahmati
Accelerating Certified Robustness Training via Knowledge Transfer. NeurIPS (2022)
Farhan Ahmed, Pratik Vaishnavi, Kevin Eykholt, Amir Rahmati
Ares: A System-Oriented Wargame Framework for Adversarial ML. CoRR (2022)
Pratik Vaishnavi, Kevin Eykholt, Amir Rahmati
Accelerating Certified Robustness Training via Knowledge Transfer. CoRR (2022)
Pratik Vaishnavi, Kevin Eykholt, Amir Rahmati
Transferring Adversarial Robustness Through Robust Representation Matching. USENIX Security Symposium (2022)
Pau-Chen Cheng, Kevin Eykholt, Zhongshu Gu, Hani Jamjoom, K. R. Jayaram, Enriquillo Valdez, Ashish Verma
Separation of Powers in Federated Learning. CoRR (2021)
Shiqi Wang, Kevin Eykholt, Taesung Lee, Jiyong Jang, Ian M. Molloy
Adaptive Verifiable Training Using Pairwise Class Similarity. AAAI (2021)
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)
Shiqi Wang, Kevin Eykholt, Taesung Lee, Jiyong Jang, Ian M. Molloy
Adaptive Verifiable Training Using Pairwise Class Similarity. CoRR (2020)
Pratik Vaishnavi, Tianji Cong, Kevin Eykholt, Atul Prakash, Amir Rahmati
Can Attention Masks Improve Adversarial Robustness? CoRR (2019)
Pratik Vaishnavi, Kevin Eykholt, Atul Prakash, Amir Rahmati
Transferable Adversarial Robustness using Adversarially Trained Autoencoders. CoRR (2019)
Kevin Eykholt, Swati Gupta, Atul Prakash, Haizhong Zheng
Robust Classification using Robust Feature Augmentation. CoRR (2019)
Kevin Eykholt, Atul Prakash
Designing Adversarially Resilient Classifiers using Resilient Feature Engineering. CoRR (2018)
Amir Rahmati, Earlence Fernandes, Kevin Eykholt, Atul Prakash
Tyche: Risk-Based Permissions for Smart Home Platforms. CoRR (2018)
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 (2018)
Amir Rahmati, Earlence Fernandes, Kevin Eykholt, Atul Prakash
Tyche: A Risk-Based Permission Model for Smart Homes. SecDev (2018)
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)
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)
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 (2017)
Earlence Fernandes, Amir Rahmati, Kevin Eykholt, Atul Prakash
Internet of Things Security Research: A Rehash of Old Ideas or New Intellectual Challenges? CoRR (2017)
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 (2017)
Amir Rahmati, Earlence Fernandes, Kevin Eykholt, Xinheng Chen, Atul Prakash
Heimdall: A Privacy-Respecting Implicit Preference Collection Framework. MobiSys (2017)
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) (2017)
Kevin Eykholt, Atul Prakash, Barzan Mozafari
Ensuring Authorized Updates in Multi-user Database-Backed Applications. USENIX Security Symposium (2017)
Kevin Eykholt, Marco F. Duarte
A Matlab toolbox for visualization of image manifolds. GlobalSIP (2013)