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Harsh Chaudhari
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2020 – today
- 2024
- [c7]Harsh Chaudhari, Giorgio Severi, Alina Oprea, Jonathan R. Ullman:
Chameleon: Increasing Label-Only Membership Leakage with Adaptive Poisoning. ICLR 2024 - [i12]Harsh Chaudhari, Anuja Patil, Dhanashree Lavekar, Pranav Khairnar, Raviraj Joshi:
L3Cube-MahaSocialNER: A Social Media based Marathi NER Dataset and BERT models. CoRR abs/2401.00170 (2024) - [i11]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 abs/2405.20485 (2024) - [i10]Evan Rose, Hidde Lycklama, Harsh Chaudhari, Anwar Hithnawi, Alina Oprea:
UTrace: Poisoning Forensics for Private Collaborative Learning. CoRR abs/2409.15126 (2024) - [i9]Jamie Hayes, Marika Swanberg, Harsh Chaudhari, Itay Yona, Ilia Shumailov:
Measuring memorization through probabilistic discoverable extraction. CoRR abs/2410.19482 (2024) - 2023
- [c6]Harsh Vijay Chaudhari
, Anuja Dinesh Patil
L3Cube-MahaSocialNER: A Social Media based Marathi Named Entity Recognition Dataset and BERT models. FIRE 2023: 93-100 - [c5]Harsh Chaudhari, Matthew Jagielski, Alina Oprea:
SafeNet: The Unreasonable Effectiveness of Ensembles in Private Collaborative Learning. SaTML 2023: 176-196 - [c4]Harsh Chaudhari, John Abascal, Alina Oprea, Matthew Jagielski, Florian Tramèr, Jonathan R. Ullman:
SNAP: Efficient Extraction of Private Properties with Poisoning. SP 2023: 400-417 - [i8]Harsh Chaudhari, Giorgio Severi, Alina Oprea, Jonathan R. Ullman:
Chameleon: Increasing Label-Only Membership Leakage with Adaptive Poisoning. CoRR abs/2310.03838 (2023) - [i7]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 abs/2312.01306 (2023) - 2022
- [i6]Harsh Chaudhari, Matthew Jagielski, Alina Oprea:
SafeNet: Mitigating Data Poisoning Attacks on Private Machine Learning. CoRR abs/2205.09986 (2022) - [i5]Harsh Chaudhari, John Abascal, Alina Oprea, Matthew Jagielski, Florian Tramèr, Jonathan R. Ullman:
SNAP: Efficient Extraction of Private Properties with Poisoning. CoRR abs/2208.12348 (2022) - [i4]Harsh Chaudhari, Matthew Jagielski, Alina Oprea:
SafeNet: Mitigating Data Poisoning Attacks on Private Machine Learning. IACR Cryptol. ePrint Arch. 2022: 663 (2022) - 2020
- [j1]Megha Byali, Harsh Chaudhari, Arpita Patra, Ajith Suresh
FLASH: Fast and Robust Framework for Privacy-preserving Machine Learning. Proc. Priv. Enhancing Technol. 2020(2): 459-480 (2020) - [c3]Harsh Chaudhari, Rahul Rachuri, Ajith Suresh:
Trident: Efficient 4PC Framework for Privacy Preserving Machine Learning. NDSS 2020 - [c2]Soumya Wadhwa, Saurabh Agrawal, Harsh Chaudhari, Deepthi Sharma, Kannan Achan:
Data Poisoning Attacks against Differentially Private Recommender Systems. SIGIR 2020: 1617-1620
2010 – 2019
- 2019
- [c1]Harsh Chaudhari, Ashish Choudhury
ASTRA: High Throughput 3PC over Rings with Application to Secure Prediction. CCSW 2019: 81-92 - [i3]Harsh Chaudhari, Ashish Choudhury, Arpita Patra, Ajith Suresh:
ASTRA: High Throughput 3PC over Rings with Application to Secure Prediction. CoRR abs/1912.02592 (2019) - [i2]Harsh Chaudhari, Ashish Choudhury, Arpita Patra, Ajith Suresh:
ASTRA: High Throughput 3PC over Rings with Application to Secure Prediction. IACR Cryptol. ePrint Arch. 2019: 429 (2019) - [i1]Megha Byali, Harsh Chaudhari, Arpita Patra, Ajith Suresh:
FLASH: Fast and Robust Framework for Privacy-preserving Machine Learning. IACR Cryptol. ePrint Arch. 2019: 1365 (2019)
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