Harsh Chaudhari

According to our database, Harsh Chaudhari authored at least 11 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

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

CoRR, 2023

SNAP: Efficient Extraction of Private Properties with Poisoning.

Harsh Chaudhari, John Abascal, Alina Oprea, Matthew Jagielski, Florian Tramèr, Jonathan R. Ullman

Proceedings of the 44th IEEE Symposium on Security and Privacy, 2023

SafeNet: The Unreasonable Effectiveness of Ensembles in Private Collaborative Learning.

Harsh Chaudhari, Matthew Jagielski, Alina Oprea

Proceedings of the 2023 IEEE Conference on Secure and Trustworthy Machine Learning, 2023

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

Proceedings of the 15th Annual Meeting of the Forum for Information Retrieval Evaluation, 2023

2022

SafeNet: Mitigating Data Poisoning Attacks on Private Machine Learning.

Harsh Chaudhari, Matthew Jagielski, Alina Oprea

IACR Cryptol. ePrint Arch., 2022

2020

FLASH: Fast and Robust Framework for Privacy-preserving Machine Learning.

Megha Byali, Harsh Chaudhari, Arpita Patra, Ajith Suresh

Proc. Priv. Enhancing Technol., 2020

Data Poisoning Attacks against Differentially Private Recommender Systems.

Soumya Wadhwa, Saurabh Agrawal, Harsh Chaudhari, Deepthi Sharma, Kannan Achan

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Trident: Efficient 4PC Framework for Privacy Preserving Machine Learning.

Harsh Chaudhari, Rahul Rachuri, Ajith Suresh

Proceedings of the 27th Annual Network and Distributed System Security Symposium, 2020

2019

ASTRA: High Throughput 3PC over Rings with Application to Secure Prediction.

Harsh Chaudhari, Ashish Choudhury, Arpita Patra, Ajith Suresh

IACR Cryptol. ePrint Arch., 2019