Machine Learning Security and Privacy
- Nathalie Baracaldo
- Alina Oprea
- 2021
- IEEE Security and Privacy
Publications
Date
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212 results for Adversarial Robustness and Privacy
On the Effectiveness of Poisoning against Unsupervised Domain Adaptation
- Akshay Mehra
- Bhavya Kailkhura
- et al.
- 2021
- ICML 2021
In and Out-of-Domain Text Adversarial Robustness via Label Smoothing
- Yahan Yang
- Soham Dan
- et al.
- 2023
- ACL 2023
AI Fairness through Robustness
- Mikhail Yurochkin
- Yuekai Sun
- et al.
- 2023
- AAAI 2023
Adversarial Machine Learning for Good
- 2022
- AAAI 2022
Generalizing Adversarial Training to Composite Semantic Perturbations
- Yun Yun Tsai
- Lei Hsiung
- et al.
- 2021
- ICML 2021
Visual Prompting for Adversarial Robustness
- Aochuan Chen
- Peter Lorenz
- et al.
- 2023
- ICASSP 2023
Certified Robustness of Quantum Classifiers Against Adversarial Examples Through Quantum Noise
- Jhih-Cing Huang
- Yu-Lin Tsai
- et al.
- 2023
- ICASSP 2023
Convex Bounds on the Softmax Function with Applications to Robustness Verification
- Dennis Wei
- Haoze Wu
- et al.
- 2023
- AISTATS 2023
Treatment Learning Causal Transformer for Noisy Image Classification
- Chao-Han Huck Yang
- Danny I-Te Hung
- et al.
- 2023
- WACV 2023