Differentially Private Knowledge Distillation via Synthetic Text Generation. - James Flemings; Murali Annavaram (ACL (Findings), 2024)

Differentially Private Next-Token Prediction of Large Language Models. - James Flemings; Meisam Razaviyayn; Murali Annavaram (NAACL-HLT, 2024)

Adaptively Private Next-Token Prediction of Large Language Models. - James Flemings; Meisam Razaviyayn; Murali Annavaram (CoRR, 2024)

Characterizing Context Influence and Hallucination in Summarization. - James Flemings; Wanrong Zhang 003; Bo Jiang; Zafar Takhirov; Murali Annavaram (CoRR, 2024)

Estimating Privacy Leakage of Augmented Contextual Knowledge in Language Models. - James Flemings; Bo Jiang; Wanrong Zhang 003; Zafar Takhirov; Murali Annavaram (ACL (1), 2025)

Differentially Private In-context Learning via Sampling Few-shot Mixed with Zero-shot Outputs. - James Flemings; Haosheng Gan; Hongyi Li; Meisam Razaviyayn; Murali Annavaram (CoRR, 2025)

Memory-Efficient Differentially Private Training with Gradient Random Projection. - Alex Mulrooney; Devansh Gupta; James Flemings; Huanyu Zhang; Murali Annavaram; Meisam Razaviyayn; Xinwei Zhang (CoRR, 2025)

TokenSmith: Streamlining Data Editing, Search, and Inspection for Large-Scale Language Model Training and Interpretability. - Mohammad Aflah Khan; Ameya Godbole; Johnny Tian-Zheng Wei; Ryan Wang; James Flemings; Krishna P. Gummadi; Willie Neiswanger; Robin Jia (CoRR, 2025)