Area of research
Artificial Intelligence · Computer Vision and Pattern Recognition
Research interest
Research interests include Adversarial Robustness in Machine Learning, Generative Adversarial Networks and Image Synthesis, Privacy, Security, and Data Protection, and Anomaly Detection Techniques and Applications.
Gotta Catch'Em All: Using Honeypots to Catch Adversarial Attacks on Neural Networks
Neural Cleanse: Identifying and Mitigating Backdoor Attacks in Neural Networks
Scaling Deep Learning Models for Spectrum Anomaly Detection
With Great Training Comes Great Vulnerability: Practical Attacks against Transfer Learning
USENIX Security Symposium 2018cited by 92position: first
Complexity vs. performance