Kevin Eykholt

36 papers A* 6A 3Journal 20Unranked 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
Understanding Human-AI Collaboration in Cybersecurity Competitions.
CoRR
Tingxuan Tang, Nicolas Janis, Kalyn Asher Montague, Kevin Eykholt, Dhilung Kirat, Youngja Park, Jiyong Jang, Adwait Nadkarni, Yue Xiao
2025 J jnl
One Bug, Hundreds Behind: LLMs for Large-Scale Bug Discovery.
CoRR
Qiushi Wu, Yue Xiao, Dhilung Kirat, Kevin Eykholt, Jiyong Jang, Douglas Lee Schales
2024 J jnl
A Study of the Effects of Transfer Learning on Adversarial Robustness.
Trans. Mach. Learn. Res.
Pratik Vaishnavi, Kevin Eykholt, Amir Rahmati
2024 A conf
DeTA: Minimizing Data Leaks in Federated Learning via Decentralized and Trustworthy Aggregation.
EuroSys
Pau-Chen Cheng, Kevin Eykholt, Zhongshu Gu, Hani Jamjoom, K. R. Jayaram, Enriquillo Valdez, Ashish Verma
2024 J jnl
Taking off the Rose-Tinted Glasses: A Critical Look at Adversarial ML Through the Lens of Evasion Attacks.
CoRR
Kevin Eykholt, Farhan Ahmed, Pratik Vaishnavi, Amir Rahmati
2023 — conf
Benchmarking the Effect of Poisoning Defenses on the Security and Bias of Deep Learning Models.
SP (Workshops)
Nathalie Baracaldo, Farhan Ahmed, Kevin Eykholt, Yi Zhou, Shriti Priya, Taesung Lee, Swanand Kadhe, Mike Tan, Sridevi Polavaram, Sterling Suggs, Yuyang Gao, David Slater
2023 A conf
EdgeTorrent: Real-time Temporal Graph Representations for Intrusion Detection.
RAID
Isaiah J. King, Xiaokui Shu, Jiyong Jang, Kevin Eykholt, Taesung Lee, H. Howie Huang
2023 A* conf
URET: Universal Robustness Evaluation Toolkit (for Evasion).
USENIX Security Symposium
Kevin Eykholt, Taesung Lee, Douglas Lee Schales, Jiyong Jang, Ian M. Molloy, Masha Zorin
2023 J jnl
URET: Universal Robustness Evaluation Toolkit (for Evasion).
CoRR
Kevin Eykholt, Taesung Lee, Douglas Lee Schales, Jiyong Jang, Ian M. Molloy, Masha Zorin
2022 A* conf
Accelerating Certified Robustness Training via Knowledge Transfer.
NeurIPS
Pratik Vaishnavi, Kevin Eykholt, Amir Rahmati
2022 J jnl
Accelerating Certified Robustness Training via Knowledge Transfer.
CoRR
Pratik Vaishnavi, Kevin Eykholt, Amir Rahmati
2022 — conf
Ares: A System-Oriented Wargame Framework for Adversarial ML.
SP (Workshops)
Farhan Ahmed, Pratik Vaishnavi, Kevin Eykholt, Amir Rahmati
2022 J jnl
Ares: A System-Oriented Wargame Framework for Adversarial ML.
CoRR
Farhan Ahmed, Pratik Vaishnavi, Kevin Eykholt, Amir Rahmati
2022 A* conf
Transferring Adversarial Robustness Through Robust Representation Matching.
USENIX Security Symposium
Pratik Vaishnavi, Kevin Eykholt, Amir Rahmati
2022 J jnl
Transferring Adversarial Robustness Through Robust Representation Matching.
CoRR
Pratik Vaishnavi, Kevin Eykholt, Amir Rahmati
2021 A* conf
Adaptive Verifiable Training Using Pairwise Class Similarity.
AAAI
Shiqi Wang, Kevin Eykholt, Taesung Lee, Jiyong Jang, Ian M. Molloy
2021 — conf
Separation of Powers in Federated Learning (Poster Paper).
ResilientFL
Pau-Chen Cheng, Kevin Eykholt, Zhongshu Gu, Hani Jamjoom, K. R. Jayaram, Enriquillo Valdez, Ashish Verma
2021 J jnl
Separation of Powers in Federated Learning.
CoRR
Pau-Chen Cheng, Kevin Eykholt, Zhongshu Gu, Hani Jamjoom, K. R. Jayaram, Enriquillo Valdez, Ashish Verma
2020 J jnl
Adaptive Verifiable Training Using Pairwise Class Similarity.
CoRR
Shiqi Wang, Kevin Eykholt, Taesung Lee, Jiyong Jang, Ian M. Molloy
2019 J jnl
Can Attention Masks Improve Adversarial Robustness?
CoRR
Pratik Vaishnavi, Tianji Cong, Kevin Eykholt, Atul Prakash, Amir Rahmati
2019 — —
Designing and Evaluating Physical Adversarial Attacks and Defenses for Machine Learning Algorithms.
Kevin Eykholt
2019 J jnl
Robust Classification using Robust Feature Augmentation.
CoRR
Kevin Eykholt, Swati Gupta, Atul Prakash, Haizhong Zheng
2019 J jnl
Transferable Adversarial Robustness using Adversarially Trained Autoencoders.
CoRR
Pratik Vaishnavi, Kevin Eykholt, Atul Prakash, Amir Rahmati
2018 J jnl
Designing Adversarially Resilient Classifiers using Resilient Feature Engineering.
CoRR
Kevin Eykholt, Atul Prakash
2018 — conf
Physical Adversarial Examples for Object Detectors.
WOOT @ USENIX Security Symposium
Dawn Song, Kevin Eykholt, Ivan Evtimov, Earlence Fernandes, Bo Li, Amir Rahmati, Florian Tramèr, Atul Prakash, Tadayoshi Kohno
2018 J jnl
Physical Adversarial Examples for Object Detectors.
CoRR
Kevin Eykholt, Ivan Evtimov, Earlence Fernandes, Bo Li, Amir Rahmati, Florian Tramèr, Atul Prakash, Tadayoshi Kohno, Dawn Song
2018 A* conf
Robust Physical-World Attacks on Deep Learning Visual Classification.
CVPR
Kevin Eykholt, Ivan Evtimov, Earlence Fernandes, Bo Li, Amir Rahmati, Chaowei Xiao, Atul Prakash, Tadayoshi Kohno, Dawn Song
2018 — conf
Tyche: A Risk-Based Permission Model for Smart Homes.
SecDev
Amir Rahmati, Earlence Fernandes, Kevin Eykholt, Atul Prakash
2018 J jnl
Tyche: Risk-Based Permissions for Smart Home Platforms.
CoRR
Amir Rahmati, Earlence Fernandes, Kevin Eykholt, Atul Prakash
2017 A* conf
Ensuring Authorized Updates in Multi-user Database-Backed Applications.
USENIX Security Symposium
Kevin Eykholt, Atul Prakash, Barzan Mozafari
2017 A conf
Heimdall: A Privacy-Respecting Implicit Preference Collection Framework.
MobiSys
Amir Rahmati, Earlence Fernandes, Kevin Eykholt, Xinheng Chen, Atul Prakash
2017 J jnl
Internet of Things Security Research: A Rehash of Old Ideas or New Intellectual Challenges?
CoRR
Earlence Fernandes, Amir Rahmati, Kevin Eykholt, Atul Prakash
2017 J jnl
Internet of Things Security Research: A Rehash of Old Ideas or New Intellectual Challenges?
IEEE Secur. Priv.
Earlence Fernandes, Amir Rahmati, Kevin Eykholt, Atul Prakash
2017 J jnl
Note on Attacking Object Detectors with Adversarial Stickers.
CoRR
Kevin Eykholt, Ivan Evtimov, Earlence Fernandes, Bo Li, Dawn Song, Tadayoshi Kohno, Amir Rahmati, Atul Prakash, Florian Tramèr
2017 J jnl
Robust Physical-World Attacks on Machine Learning Models.
CoRR
Ivan Evtimov, Kevin Eykholt, Earlence Fernandes, Tadayoshi Kohno, Bo Li, Atul Prakash, Amir Rahmati, Dawn Song
2013 — conf
A Matlab toolbox for visualization of image manifolds.
GlobalSIP
Kevin Eykholt, Marco F. Duarte