Zihao Zhu

BlackboxBench: A Comprehensive Benchmark of Black-box Adversarial Attacks

2023 · arXiv (Cornell University)

Adversarial examples are well-known tools to evaluate the vulnerability of deep neural networks (DNNs). Although lots of adversarial attack algorithms have been developed, it's still challenging in the practical scenario that the model's parameters and …

BackdoorBench: A Comprehensive Benchmark and Analysis of Backdoor Learning

2024 · arXiv (Cornell University)

As an emerging and vital topic for studying deep neural networks' vulnerability (DNNs), backdoor learning has attracted increasing interest in recent years, and many seminal backdoor attack and defense algorithms are being developed successively or …