Bo Li

Publications by Year

Research Areas

Adversarial Robustness in Machine Learning, Anomaly Detection Techniques and Applications, Advanced Neural Network Applications, Advanced Malware Detection Techniques, Explainable Artificial Intelligence (XAI)

Most-Cited Works

• → Generating Adversarial Examples with Adversarial Networks(2018)781 cited
• → Trustworthy AI: From Principles to Practices(2022)447 cited
• Characterizing Adversarial Subspaces Using Local Intrinsic Dimensionality(2018)
• → Generating 3D Adversarial Point Clouds(2019)324 cited
• → Dataset Security for Machine Learning: Data Poisoning, Backdoor Attacks, and Defenses(2022)281 cited
• DBA: Distributed Backdoor Attacks against Federated Learning(2020)
• → Adversarial Attack and Defense on Graph Data: A Survey(2022)240 cited
• → Invisible for both Camera and LiDAR: Security of Multi-Sensor Fusion based Perception in Autonomous Driving Under Physical-World Attacks(2021)202 cited
• → Robust Deep Reinforcement Learning against Adversarial Perturbations on\n State Observations(2020)111 cited