Catastrophic Data Leakage in Vertical Federated Learning
- Xiao Jin
- Pin-Yu Chen
- et al.
- 2021
- NeurIPS 2021
Publications
226 results for Adversarial Robustness and Privacy
Formalizing Generalization and Adversarial Robustness of Neural Networks to Weight Perturbations
- Yu-Lin Tsai
- Chia-Yi Hsu
- et al.
- 2021
- NeurIPS 2021
Neural Population Geometry Reveals the Role of Stochasticity in Robust Perception
- Joel Dapello
- Jenelle Feather
- 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
When does Contrastive Learning Preserve Adversarial Robustness from Pretraining to Finetuning?
- Lijie Fan
- Sijia Liu
- et al.
- 2021
- NeurIPS 2021
Robust Deep Reinforcement Learning through Adversarial Loss
- Tuomas Oikarinen
- Wang Zhang
- 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
Privacy preserving explanations for hierarchical time series forecasts
- Surya Shravan Kumar Sajja
- Sumanta Mukherjee
- et al.
- 2021
- INFORMS 2021