Tag Archives: 2025

D-semble: Efficient Diversity-Guided Search for Resilient ML Ensembles

Abraham Chan, Arpan Gujarati, Karthik Pattabiraman and Sathish Gopalakrishnan, Proceedings of the ACM International Symposium on Applied Computing (SAC), 2025. Safe, Secure, and Robust AI Track. (Acceptance Rate: 23%) [ PDF | Talk ] (code)
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A Method to Facilitate Membership Inference Attacks in Deep Learning Models

Zitao Chen and Karthik Pattabiraman, Proceedings of the ISOC Network and Distributed Systems Security Symposium (NDSS), 2025. (Acceptance Rate: 16.1%) [ PDF | Talk ] (Code) (arXIV version). Artifacts Available, Functional and Results Reproduced.
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