Fatemehsadat Mireshghallah
Institut national de recherche en informatique et en automatique(FR)University of California, San Diego(US)
Publications by Year
Research Areas
Privacy-Preserving Technologies in Data, Advanced Neural Network Applications, Adversarial Robustness in Machine Learning, Topic Modeling, Domain Adaptation and Few-Shot Learning
Most-Cited Works
- → What Does it Mean for a Language Model to Preserve Privacy?(2022)142 cited
- → Privacy in Deep Learning: A Survey(2020)98 cited
- → Shredder(2020)75 cited
- → Quantifying Privacy Risks of Masked Language Models Using Membership Inference Attacks(2022)69 cited
- → Membership Inference Attacks against Language Models via Neighbourhood Comparison(2023)64 cited
- → Neither Private Nor Fair(2020)63 cited
- → ReLeQ : A Reinforcement Learning Approach for Automatic Deep Quantization of Neural Networks(2020)60 cited
- → ReLeQ: A Reinforcement Learning Approach for Deep Quantization of Neural Networks(2018)46 cited
- → An Empirical Analysis of Memorization in Fine-tuned Autoregressive Language Models(2022)40 cited
- → Mix and Match: Learning-free Controllable Text Generationusing Energy Language Models(2022)39 cited