3rd Workshop on Adversarial Learning Methods for Machine Learning and Data Mining
- Pin-Yu Chen
- Cho-Jui Hsieh
- et al.
- 2021
- KDD 2021
Publications
Date
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216 results for Adversarial Robustness and Privacy
Advancing the Robustness of Large Language Models through Self-Denoised Smoothing
- Jiabao Ji
- Bairu Hou
- et al.
- 2024
- NAACL 2024
Besting the Black-Box: Barrier Zones for Adversarial Example Defense
- Kaleel Mahmood
- Phuong Ha Nguyen
- et al.
- 2021
- IEEE Access
Publication Popularity Modeling via Adversarial Learning of Profile-Specific Dynamic Process
- Shuai Xiao
- Junchi Yan
- et al.
- 2018
- IEEE Access
Attacking c-MARL More Effectively: A Data Driven Approach
- Nhan Pham
- Lam Nguyen
- et al.
- 2023
- ICDM 2023
Trustworthy AI in the Era of Foundation Models
- Pin-Yu Chen
- Chaowei Xiao
- 2023
- CVPR 2023
SparSFA: Towards robust and communication-efficient peer-to-peer federated learning
- Han Wang
- Luis Muñoz-González
- et al.
- 2023
- Computers & Security
Certifiably robust interpretation via Rényi differential privacy
- Ao Liu
- Xiaoyu Chen
- et al.
- 2022
- Artificial Intelligence
Random and Adversarial Bit Error Robustness: Energy-Efficient and Secure DNN Accelerators
- David Stutz
- Nandhini Chandramoorthy
- et al.
- 2021
- IEEE TPAMI
Practical Adversarial Robustness in Deep Learning: Problems and Solutions
- Pin-Yu Chen
- Sayak Paul
- 2021
- CVPR 2021