Holistic Adversarial Robustness of Deep Learning Models
- Pin-Yu Chen
- Sijia Liu
- 2023
- AAAI 2023
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212 results for Adversarial Robustness and Privacy
Accelerating Certified Robustness Training via Knowledge Transfer
- Pratik Vaishnavi
- Kevin Eykholt
- et al.
- 2022
- NeurIPS 2022
Training a Resilient Q-network against Observational Interference
- Chao-Han Huck Yang
- I. Te Danny Hung
- et al.
- 2022
- AAAI 2022
MalGraph: Hierarchical Graph Neural Networks for Robust Windows Malware Detection
- Xiang Ling
- Lingfei Wu
- et al.
- 2022
- INFOCOM 2022
Mean-based Best Arm Identification in Stochastic Bandits under Reward Contamination
- Arpan Mukherjee
- Ali Tajer
- et al.
- 2021
- NeurIPS 2021
WristPrint: Characterizing User Re-identification Risks from Wrist-worn Accelerometry Data
- Nazir Saleheen
- Md Azim Ullah
- et al.
- 2021
- CCS 2021
AHEAD: Adaptive Hierarchical Decomposition for Range Query under Local Differential Privacy
- Linkang Du
- Zhikun Zhang
- et al.
- 2021
- CCS 2021
Expressive 1-Lipschitz Neural Networks for Robust Multiple Graph Learning against Adversarial Attacks
- Xin Zhao
- Zeru Zhang
- et al.
- 2021
- ICML 2021
Text Captcha Is Dead? A Large Scale Deployment and Empirical Study
- Chenghui Shi
- Shouling Ji
- et al.
- 2020
- CCS 2020
Distributionally robust policy evaluation and learning in offline contextual bandits
- Nian Si
- Fan Zhang
- et al.
- 2020
- ICML 2020