Harsh Chaudhari

Orcid: 0009-0000-3269-5685

According to our database1, Harsh Chaudhari authored at least 13 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2024
UTrace: Poisoning Forensics for Private Collaborative Learning.
CoRR, 2024

Phantom: General Trigger Attacks on Retrieval Augmented Language Generation.
CoRR, 2024

L3Cube-MahaSocialNER: A Social Media based Marathi NER Dataset and BERT models.
CoRR, 2024

Chameleon: Increasing Label-Only Membership Leakage with Adaptive Poisoning.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
On Significance of Subword tokenization for Low Resource and Efficient Named Entity Recognition: A case study in Marathi.
CoRR, 2023

SNAP: Efficient Extraction of Private Properties with Poisoning.
Proceedings of the 44th IEEE Symposium on Security and Privacy, 2023

SafeNet: The Unreasonable Effectiveness of Ensembles in Private Collaborative Learning.
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.
Proceedings of the 15th Annual Meeting of the Forum for Information Retrieval Evaluation, 2023

2022
SafeNet: Mitigating Data Poisoning Attacks on Private Machine Learning.
IACR Cryptol. ePrint Arch., 2022

2020
FLASH: Fast and Robust Framework for Privacy-preserving Machine Learning.
Proc. Priv. Enhancing Technol., 2020

Data Poisoning Attacks against Differentially Private Recommender Systems.
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.
Proceedings of the 27th Annual Network and Distributed System Security Symposium, 2020

2019
ASTRA: High Throughput 3PC over Rings with Application to Secure Prediction.
IACR Cryptol. ePrint Arch., 2019


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