Publications

221 results for Adversarial Robustness and Privacy

VillanDiffusion: A Unified Backdoor Attack Framework for Diffusion Models
- - Sheng-yen Cho
  - Pin-Yu Chen
  - et al.
- 2023
- NeurIPS 2023
A Spectral Algorithm for List-Decodable Covariance Estimation in Relative Frobenius Norm
- - Ilias Diakonikolas
  - Daniel Kane
  - et al.
- 2023
- NeurIPS 2023
Forcing Generative Models to Degenerate Ones: The Power of Data Poisoning Attacks
- - Shuli Jiang
  - Swanand Ravindra Kadhe
  - et al.
- 2023
- NeurIPS 2023
Attacking c-MARL More Effectively: A Data Driven Approach
- - Nhan Pham
  - Lam Nguyen
  - et al.
- 2023
- ICDM 2023
Unraveling the Connections between Privacy and Certified Robustness in Federated Learning Against Poisoning Attacks
- - Chulin Xie
  - Yunhui Long
  - et al.
- 2023
- CCS 2023
2nd Workshop on Data Integrity and Secure Cloud Computing (DISCC)
- - Pradip Bose
  - Jennifer Dworak
  - et al.
- 2023
- MICRO 2023
Spectral Adversarial MixUp for Few-Shot Unsupervised Domain Adaptation
- - Jiajin Zhang
  - Hanqing Chao
  - et al.
- 2023
- MICCAI 2023
Adversarial Auditing of Machine Learning Models under Compound Shift
- - Karan Bhanot
  - Dennis Wei
  - et al.
- 2023
- ESANN 2023
Spatially Constrained Adversarial Attack Detection and Localization in the Representation Space of Optical Flow Networks
- - Hannah Kim
  - Celia Cintas
  - et al.
- 2023
- IJCAI 2023
TRAD: Task-agnostic Representation of the Activation Space in Deep Neural Networks
- - Tanya Leah Akumu
  - Celia Cintas
  - et al.
- 2023
- IJCAI 2023