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Kevin Eykholt

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

8

Venues

7

Active years

2017–2024

Best venue rank

A*

Where they publish

Papers

8 indexed papers, newest first.

YearVenueTitleAuthors
2024EuroSysDeTA: Minimizing Data Leaks in Federated Learning via Decentralized and Trustworthy Aggregation.Pau-Chen Cheng, Kevin Eykholt, Zhongshu Gu, Hani Jamjoom, K. R. Jayaram, Enriquillo Valdez, Ashish Verma
2023RAIDEdgeTorrent: Real-time Temporal Graph Representations for Intrusion Detection.Isaiah J. King, Xiaokui Shu, Jiyong Jang, Kevin Eykholt, Taesung Lee, H. Howie Huang
2023SPBenchmarking the Effect of Poisoning Defenses on the Security and Bias of Deep Learning Models.Nathalie Baracaldo, Farhan Ahmed, Kevin Eykholt, Yi Zhou, Shriti Priya, Taesung Lee, Swanand Kadhe, Mike Tan, Sridevi Polavaram, Sterling Suggs, Yuyang Gao, David Slater
2022SPAres: A System-Oriented Wargame Framework for Adversarial ML.Farhan Ahmed, Pratik Vaishnavi, Kevin Eykholt, Amir Rahmati
2021AAAIAdaptive Verifiable Training Using Pairwise Class Similarity.Shiqi Wang, Kevin Eykholt, Taesung Lee, Jiyong Jang, Ian M. Molloy
2021SOSPSeparation of Powers in Federated Learning (Poster Paper).Pau-Chen Cheng, Kevin Eykholt, Zhongshu Gu, Hani Jamjoom, K. R. Jayaram, Enriquillo Valdez, Ashish Verma
2018CVPRRobust Physical-World Attacks on Deep Learning Visual Classification.Kevin Eykholt, Ivan Evtimov, Earlence Fernandes, Bo Li, Amir Rahmati, Chaowei Xiao, Atul Prakash, Tadayoshi Kohno, Dawn Song
2017MobisysHeimdall: A Privacy-Respecting Implicit Preference Collection Framework.Amir Rahmati, Earlence Fernandes, Kevin Eykholt, Xinheng Chen, Atul Prakash