Milad Nasr
Michael & Associates(US)
Publications by Year
Research Areas
Adversarial Robustness in Machine Learning, Privacy-Preserving Technologies in Data, Topic Modeling, Network Security and Intrusion Detection, Natural Language Processing Techniques
Most-Cited Works
- → Comprehensive Privacy Analysis of Deep Learning: Passive and Active White-box Inference Attacks against Centralized and Federated Learning(2019)1,500 cited
- → Machine Learning with Membership Privacy using Adversarial Regularization(2018)426 cited
- → Membership Inference Attacks From First Principles(2022)360 cited
- Comprehensive Privacy Analysis of Deep Learning: Stand-alone and Federated Learning under Passive and Active White-box Inference Attacks.(2018)
- → Extracting Training Data from Diffusion Models(2023)96 cited
- → Robust Adversarial Attacks Against DNN-Based Wireless Communication Systems(2021)80 cited
- → Scalable Extraction of Training Data from (Production) Language Models(2023)79 cited
- → Compressive Traffic Analysis(2017)62 cited
- → The Waterfall of Liberty(2017)38 cited
- Defeating DNN-Based Traffic Analysis Systems in Real-Time With Blind Adversarial Perturbations.(2021)