Harsh Chaudhari

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 17

Top Topics

Machine Learning

Privacy Preserving Data Mining Algorithms

Privacy Preserving

Top Venues

IACR Cryptol. ePrint Arch.

Publications

Harsh Chaudhari, Giorgio Severi, John Abascal, Matthew Jagielski, Christopher A. Choquette-Choo, Milad Nasr, Cristina Nita-Rotaru, Alina Oprea
Phantom: General Trigger Attacks on Retrieval Augmented Language Generation. CoRR (2024)
Harsh Chaudhari, Anuja Patil, Dhanashree Lavekar, Pranav Khairnar, Raviraj Joshi
L3Cube-MahaSocialNER: A Social Media based Marathi NER Dataset and BERT models. CoRR (2024)
Harsh Chaudhari, Giorgio Severi, Alina Oprea, Jonathan R. Ullman
Chameleon: Increasing Label-Only Membership Leakage with Adaptive Poisoning. ICLR (2024)
Harsh Chaudhari, Matthew Jagielski, Alina Oprea
SafeNet: The Unreasonable Effectiveness of Ensembles in Private Collaborative Learning. SaTML (2023)
Harsh Chaudhari, John Abascal, Alina Oprea, Matthew Jagielski, Florian Tramèr, Jonathan R. Ullman
SNAP: Efficient Extraction of Private Properties with Poisoning. SP (2023)
Harsh Chaudhari, Anuja Patil, Dhanashree Lavekar, Pranav Khairnar, Raviraj Joshi, Sachin Pande
On Significance of Subword tokenization for Low Resource and Efficient Named Entity Recognition: A case study in Marathi. CoRR (2023)
Harsh Chaudhari, Giorgio Severi, Alina Oprea, Jonathan R. Ullman
Chameleon: Increasing Label-Only Membership Leakage with Adaptive Poisoning. CoRR (2023)
Harsh Chaudhari, John Abascal, Alina Oprea, Matthew Jagielski, Florian Tramèr, Jonathan R. Ullman
SNAP: Efficient Extraction of Private Properties with Poisoning. CoRR (2022)
Harsh Chaudhari, Matthew Jagielski, Alina Oprea
SafeNet: Mitigating Data Poisoning Attacks on Private Machine Learning. CoRR (2022)
Harsh Chaudhari, Matthew Jagielski, Alina Oprea
SafeNet: Mitigating Data Poisoning Attacks on Private Machine Learning. IACR Cryptol. ePrint Arch. 2022 (2022)
Soumya Wadhwa, Saurabh Agrawal, Harsh Chaudhari, Deepthi Sharma, Kannan Achan
Data Poisoning Attacks against Differentially Private Recommender Systems. SIGIR (2020)
Harsh Chaudhari, Rahul Rachuri, Ajith Suresh
Trident: Efficient 4PC Framework for Privacy Preserving Machine Learning. NDSS (2020)
Megha Byali, Harsh Chaudhari, Arpita Patra, Ajith Suresh
FLASH: Fast and Robust Framework for Privacy-preserving Machine Learning. Proc. Priv. Enhancing Technol. 2020 (2) (2020)
Harsh Chaudhari, Ashish Choudhury, Arpita Patra, Ajith Suresh
ASTRA: High Throughput 3PC over Rings with Application to Secure Prediction. CoRR (2019)
Harsh Chaudhari, Ashish Choudhury, Arpita Patra, Ajith Suresh
ASTRA: High Throughput 3PC over Rings with Application to Secure Prediction. IACR Cryptol. ePrint Arch. 2019 (2019)
Harsh Chaudhari, Ashish Choudhury, Arpita Patra, Ajith Suresh
ASTRA: High Throughput 3PC over Rings with Application to Secure Prediction. CCSW@CCS (2019)
Megha Byali, Harsh Chaudhari, Arpita Patra, Ajith Suresh
FLASH: Fast and Robust Framework for Privacy-preserving Machine Learning. IACR Cryptol. ePrint Arch. 2019 (2019)