Eykholt, Kevin

6 publications

TMLR 2024 A Study of the Effects of Transfer Learning on Adversarial Robustness Pratik Vaishnavi, Kevin Eykholt, Amir Rahmati

NeurIPSW 2023 RAVE: Enabling Safety Verification for Realistic Deep Reinforcement Learning Systems Wenbo Guo, Taesung Lee, Kevin Eykholt, Jiyong Jiang

NeurIPS 2022 Accelerating Certified Robustness Training via Knowledge Transfer Pratik Vaishnavi, Kevin Eykholt, Amir Rahmati

NeurIPSW 2022 Benchmarking the Effect of Poisoning Defenses on the Security and Bias of the Final Model Nathalie Baracaldo, Kevin Eykholt, Farhan Ahmed, Yi Zhou, Shriti Priya, Taesung Lee, Swanand Kadhe, Yusong Tan, Sridevi Polavaram, Sterling Suggs, Yuyang Gao, David Slater

NeurIPSW 2022 On the Feasibility of Compressing Certifiably Robust Neural Networks Pratik Vaishnavi, Veena Krish, Farhan Ahmed, Kevin Eykholt, Amir Rahmati

AAAI 2021 Adaptive Verifiable Training Using Pairwise Class Similarity Shiqi Wang, Kevin Eykholt, Taesung Lee, Jiyong Jang, Ian M. Molloy