ASTRA: High Throughput 3PC over Rings with Application to Secure Prediction. - Harsh Chaudhari; Ashish Choudhury; Arpita Patra; Ajith Suresh (IACR Cryptol. ePrint Arch., 2019)

Trident: Efficient 4PC Framework for Privacy Preserving Machine Learning. - Harsh Chaudhari; Rahul Rachuri; Ajith Suresh (NDSS, 2020)

Data Poisoning Attacks against Differentially Private Recommender Systems. - Soumya Wadhwa; Saurabh Agrawal; Harsh Chaudhari; Deepthi Sharma; Kannan Achan (SIGIR, 2020)

FLASH: Fast and Robust Framework for Privacy-preserving Machine Learning. - Megha Byali; Harsh Chaudhari; Arpita Patra; Ajith Suresh (Proc. Priv. Enhancing Technol., 2020)

SafeNet: Mitigating Data Poisoning Attacks on Private Machine Learning. - Harsh Chaudhari; Matthew Jagielski; Alina Oprea (IACR Cryptol. ePrint Arch., 2022)

L3Cube-MahaSocialNER: A Social Media based Marathi Named Entity Recognition Dataset and BERT models. - Harsh Vijay Chaudhari; Anuja Dinesh Patil; Dhanashree Lavekar; Pranav Khairnar; Raviraj Joshi (FIRE, 2023)

SafeNet: The Unreasonable Effectiveness of Ensembles in Private Collaborative Learning. - Harsh Chaudhari; Matthew Jagielski; Alina Oprea (SaTML, 2023)

SNAP: Efficient Extraction of Private Properties with Poisoning. - Harsh Chaudhari; John Abascal; Alina Oprea; Matthew Jagielski; Florian Tramèr; Jonathan R. Ullman (SP, 2023)

On Significance of Subword tokenization for Low Resource and Efficient Named Entity Recognition: A case study in Marathi. - Harsh Chaudhari; Anuja Patil; Dhanashree Lavekar; Pranav Khairnar; Raviraj Joshi; Sachin Pande (CoRR, 2023)

Chameleon: Increasing Label-Only Membership Leakage with Adaptive Poisoning. - Harsh Chaudhari; Giorgio Severi; Alina Oprea; Jonathan R. Ullman (ICLR, 2024)

L3Cube-MahaSocialNER: A Social Media based Marathi NER Dataset and BERT models. - Harsh Chaudhari; Anuja Patil; Dhanashree Lavekar; Pranav Khairnar; Raviraj Joshi (CoRR, 2024)

Phantom: General Trigger Attacks on Retrieval Augmented Language Generation. - Harsh Chaudhari; Giorgio Severi; John Abascal; Matthew Jagielski; Christopher A. Choquette-Choo; Milad Nasr; Cristina Nita-Rotaru; Alina Oprea (CoRR, 2024)

UTrace: Poisoning Forensics for Private Collaborative Learning. - Evan Rose; Hidde Lycklama; Harsh Chaudhari; Anwar Hithnawi; Alina Oprea (CoRR, 2024)

Measuring memorization through probabilistic discoverable extraction. - Jamie Hayes; Marika Swanberg; Harsh Chaudhari; Itay Yona; Ilia Shumailov (CoRR, 2024)

Measuring memorization in language models via probabilistic extraction. - Jamie Hayes; Marika Swanberg; Harsh Chaudhari; Itay Yona; Ilia Shumailov; Milad Nasr; Christopher A. Choquette-Choo; Katherine Lee; A. Feder Cooper (NAACL (Long Papers), 2025)

Riddle Me This! Stealthy Membership Inference for Retrieval-Augmented Generation. - Ali Naseh; Yuefeng Peng; Anshuman Suri; Harsh Chaudhari; Alina Oprea; Amir Houmansadr (CoRR, 2025)

R1dacted: Investigating Local Censorship in DeepSeek's R1 Language Model. - Ali Naseh; Harsh Chaudhari; Jaechul Roh; Mingshi Wu; Alina Oprea; Amir Houmansadr (CoRR, 2025)

Cascading Adversarial Bias from Injection to Distillation in Language Models. - Harsh Chaudhari; Jamie Hayes; Matthew Jagielski; Ilia Shumailov; Milad Nasr; Alina Oprea (CoRR, 2025)

Exploiting Leaderboards for Large-Scale Distribution of Malicious Models. - Anshuman Suri; Harsh Chaudhari; Yuefeng Peng; Ali Naseh; Amir Houmansadr; Alina Oprea (CoRR, 2025)