Evaluating Gradient Inversion Attacks and Defenses in Federated Learning. - Yangsibo Huang; Samyak Gupta; Zhao Song 002; Kai Li 001; Sanjeev Arora (NeurIPS, 2021)

Cognac: Domain-Specific Compilation for Cognitive Models. - Ján Veselý; Raghavendra Pradyumna Pothukuchi; Ketaki Joshi; Samyak Gupta; Jonathan D. Cohen 003; Abhishek Bhattacharjee (CoRR, 2021)

Distill: Domain-Specific Compilation for Cognitive Models. - Ján Veselý; Raghavendra Pradyumna Pothukuchi; Ketaki Joshi; Samyak Gupta; Jonathan D. Cohen 003; Abhishek Bhattacharjee (CGO, 2022)

Recovering Private Text in Federated Learning of Language Models. - Samyak Gupta; Yangsibo Huang; Zexuan Zhong; Tianyu Gao 001; Kai Li 001; Danqi Chen 001 (NeurIPS, 2022)

Privacy Implications of Retrieval-Based Language Models. - Yangsibo Huang; Samyak Gupta; Zexuan Zhong; Kai Li 001; Danqi Chen 001 (EMNLP, 2023)

Catastrophic Jailbreak of Open-source LLMs via Exploiting Generation. - Yangsibo Huang; Samyak Gupta; Mengzhou Xia; Kai Li 001; Danqi Chen 001 (ICLR, 2024)