Publications

223 results for Adversarial Robustness and Privacy

Graph Universal Adversarial Attacks: A Few Bad Actors Ruin Graph Learning Models
- - Xiao Zang
  - Yi Xie
  - et al.
- 2021
- IJCAI 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
Graph Adversarial Attack via Rewiring
- - Yao Ma
  - Suhang Wang
  - et al.
- 2021
- KDD 2021
3rd Workshop on Adversarial Learning Methods for Machine Learning and Data Mining
- - 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
CRFL: Certifiably Robust Federated Learning against Backdoor Attacks
- - Chulin Xie
  - Minghao Chen
  - et al.
- 2021
- ICML 2021
Expressive 1-Lipschitz Neural Networks for Robust Multiple Graph Learning against Adversarial Attacks
- - Xin Zhao
  - Zeru Zhang
  - et al.
- 2021
- ICML 2021
Voice2Series: Reprogramming Acoustic Models for Time Series Classification
- - Huck Yang
  - Yun-Yun Tsai
  - et al.
- 2021
- ICML 2021
On the Effectiveness of Poisoning against Unsupervised Domain Adaptation
- - Akshay Mehra
  - Bhavya Kailkhura
  - et al.
- 2021
- ICML 2021
Generalizing Adversarial Training to Composite Semantic Perturbations
- - Yun Yun Tsai
  - Lei Hsiung
  - et al.
- 2021
- ICML 2021