Revisited AI Security: From Adversarial Attacks to Application and Foundation

academic talk @ zoom, Tsinghua University, Beijing

Speaker: 纪守领,浙江大学



Recently, AI security has drawn significant attention from the academia and industry. Various kinds of adversarial attacks and defenses spring up like bamboo shoots. Now, considering more and more AI systems have been deployed and are being deployed, it is the time to comprehensively understand what is the performance of the attacks against real world systems? Furthermore, in security-critical applications, in addition to empirical evaluation, how to understand/quantify the security space of deep models is also important. In this talk, based on our previous research, I will introduce some AI security projects, as well as some recent interesting results from the adversarial example transferability and robustness quantification perspectives.


纪守领,浙江大学“百人计划”研究员、博士生导师,兼任佐治亚理工学院Research Faculty,获佐治亚理工学院电子与计算机工程博士学位、佐治亚州立大学计算机科学博士学位。主要研究方向为人工智能安全、数据驱动安全、软件与系统安全和大数据分析,发表论文100余篇。获国家优秀留学生奖、7项最佳论文奖、浙江大学先进工作者等荣誉称号。