Research

Notation ' * ' denotes alphabetical ordering. Notation '-W' denotes Workshops.

  1. arXiv
    SNAP - Efficient Extraction of Private Properties with Poisoning
    Harsh Chaudhari, John Abascal, Alina Oprea, Matthew Jagielski, Florian Tramèr, and Jonathan Ullman
    2022
    PDF
  2. arXiv
    SafeNet - The Unreasonable Effectiveness of Ensembles in Private Collaborative Learning
    Harsh Chaudhari, Alina Oprea, and Matthew Jagielski
    2022
    PDF
  1. NeurIPS-W
    Greenwoods - A Practical Random Forest Framework for Privacy Preserving Training and Prediction
    Harsh Chaudhari, and Peter Rindal
    2020
    PDF
  2. SIGIR
    Data Poisoning Attacks against Differentially Private Recommender Systems
    Soumya Wadhwa, Saurabh Agrawal, Harsh Chaudhari, Deepthi Sharma, and Kannan Achan
    2020
    PDF
  3. NDSS
    Trident - Efficient 4PC Framework for Privacy Preserving Machine Learning
    Harsh Chaudhari*, Rahul Rachuri, and Ajith Suresh
    2020
    PDF
  4. PETS
    FLASH - Fast and Robust Framework for Privacy-preserving Machine Learning
    Megha Byali*, Harsh Chaudhari, Arpita Patra, and Ajith Suresh
    2020
    PDF
  1. ACM CCS-W
    ASTRA - High-throughput 3PC over Rings with Application to Secure Prediction
    Harsh Chaudhari*, Ashish Choudhury, Arpita Patra, and Ajith Suresh
    2019
    PDF