Publications

221 results for Adversarial Robustness and Privacy

Random and Adversarial Bit Error Robustness: Energy-Efficient and Secure DNN Accelerators
- - David Stutz
  - Nandhini Chandramoorthy
  - et al.
- 2021
- IEEE TPAMI
Machine Learning Security and Privacy
- - Nathalie Baracaldo
  - Alina Oprea
- 2021
- IEEE Security and Privacy
Neural Population Geometry Reveals the Role of Stochasticity in Robust Perception
- - Joel Dapello
  - Jenelle Feather
  - et al.
- 2021
- NeurIPS 2021
Robust Deep Reinforcement Learning through Adversarial Loss
- - Tuomas Oikarinen
  - Wang Zhang
  - et al.
- 2021
- NeurIPS 2021
Catastrophic Data Leakage in Vertical Federated Learning
- - Xiao Jin
  - Pin-Yu Chen
  - et al.
- 2021
- NeurIPS 2021
Formalizing Generalization and Adversarial Robustness of Neural Networks to Weight Perturbations
- - Yu-Lin Tsai
  - Chia-Yi Hsu
  - et al.
- 2021
- NeurIPS 2021
Mean-based Best Arm Identification in Stochastic Bandits under Reward Contamination
- - Arpan Mukherjee
  - Ali Tajer
  - et al.
- 2021
- NeurIPS 2021
Adversarial Attack Generation Empowered by Min-Max Optimization
- - Jingkang Wang
  - Tianyun Zhang
  - et al.
- 2021
- NeurIPS 2021
Contrast and Mix: Temporal Contrastive Video Domain Adaptation with Background Mixing
- - Aadarsh Sahoo
  - Rutav Shah
  - et al.
- 2021
- NeurIPS 2021
Understanding the Limits of Unsupervised Domain Adaptation via Data Poisoning
- - Akshay Mehra
  - Bhavya Kailkhura
  - et al.
- 2021
- NeurIPS 2021