Less is More: Dimension Reduction Finds On-Manifold Adversarial Examples in Hard-Label Attacks
- Washington Garcia
- Pin-Yu Chen
- et al.
- 2023
- IEEE SaTML 2023
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212 results for Adversarial Robustness and Privacy
Distributed Adversarial Training to Robustify Deep Neural Networks at Scale
- Gaoyuan Zhang
- Songtao Lu
- et al.
- 2022
- UAI 2022
Learning to Generate Image Source-Agnostic Universal Adversarial Perturbations
- Pu Zhao
- Parikshit Ram
- et al.
- 2022
- IJCAI 2022
CAT: Customized Adversarial Training for Improved Robustness
- Minhao Cheng
- Qi Lei
- et al.
- 2022
- IJCAI 2022
The MeVer DeepFake Detection Service: Lessons Learnt from Developing and Deploying in the Wild
- Spiros Baxevanakis
- Giorgos Kordopatis-Zilos
- et al.
- 2022
- MAD 2022
Real-World Adversarial Examples Via Makeup
- Chang-Sheng Lin
- Chia-Yi Hsu
- et al.
- 2022
- ICASSP 2022
Secure Random Sampling in Differential Privacy
- 2021
- ESORICS 2021
Graph Adversarial Attack via Rewiring
- Yao Ma
- Suhang Wang
- et al.
- 2021
- KDD 2021
Third Workshop on Adversarial Learning Methods for Machine Learning and Data Mining (AdvML 2021)
- Pin-Yu Chen
- Cho-Jui Hsieh
- et al.
- 2021
- KDD 2021
Using deep packet inspection in CyberTraffic analysis
- Luca Deri
- Francesco Fusco
- 2021
- CSR 2021