Publications

This is our catalog of recent publications authored by IBM researchers, in collaboration with the global research community. We’re currently adding our back catalog of more than 110,000 publications. It’s an ever-growing body of work that shows why IBM is one of the most important contributors to modern computing.

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14 results for Ambrish Rawat

Matching Pairs: Attributing Fine-Tuned Models to their Pre-Trained Large Language Models
- - Myles Foley
  - Ambrish Rawat
  - et al.
- 2023
- ACL 2023
Bandit Limited Discrepancy Search and Application to Machine Learning Pipeline Optimization
- - Akihiro Kishimoto
  - Djallel Bouneffouf
  - et al.
- 2022
- AAAI 2022
Searching for Machine Learning Pipelines Using a Context-Free Grammar
- - Radu Marinescu
  - Akihiro Kishimoto
  - et al.
- 2021
- AAAI 2021
The Devil is in the GAN: Backdoor Attacks and Defenses in Deep Generative Models
- - Ambrish Rawat
  - Killian Levacher
  - et al.
- 2022
- ESORICS 2022
FAT: Federated Adversarial Training
- - Giulio Zizzo
  - Ambrish Rawat
  - et al.
- 2020
- NeurIPS 2020
Challenges and Pitfalls of Bayesian Unlearning
- - Ambrish Rawat
  - James Requeima
  - et al.
- 2022
- ICML 2022
Federated Unlearning: How to Efficiently Erase a Client in FL?
- - Anisa Halimi
  - Swanand Ravindra Kadhe
  - et al.
- 2022
- ICML 2022
Federated Continual Learning with Differentially Private Data Sharing
- - Giulio Zizzo
  - Ambrish Rawat
  - et al.
- 2022
- NeurIPS 2022
Robust Learning Protocol for Federated Tumor Segmentation Challenge
- - Ambrish Rawat
  - Giulio Zizzo
  - et al.
- 2022
- MICCAI 2022
FairSISA: Ensemble Post-Processing to Improve Fairness of Unlearning in LLMs
- - Swanand Ravindra Kadhe
  - Anisa Halimi
  - et al.
- 2023
- NeurIPS 2023