Presented at
Black Hat USA 2021,
Aug. 5, 2021, 2:30 p.m.
(30 minutes)
In the past years, we witnessed a dramatic rise in the platforms and apps based on machine learning and artificial intelligence. Inevitably, nearly every security product claims to be powered by deep learning technology and achieve an incredible detection rate. Confused by the various fancy terms advertised by security companies, the dilemma faced by customers is how to determine the quality of these products and how to choose the suitable one. Previous studies have proposed various ways to evaluate many kinds of ML-based security products (e.g malware detection, cloud-based, endpoint av). Our presentation tends to bridge the research‐to‐practice gap by sharing our experience when evaluating the real-world vendor's products.
Presenters:
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Xuguang (Luke) Liu
- Software Engineer, Palo Alto Networks
<span data-sheets-value="{"1":2,"2":"Xuguang Liu is a Software Engineer at Palo Alto Networks. He was most recently a Member Of Technical Staff at StackRox. He obtained his MS in Software Engineering from Central South University in 2017. He is active on Docker container security and Kubernetes security."}" data-sheets-userformat="{"2":15359,"3":{"1":0},"4":{"1":2,"2":16777215},"5":{"1":[{"1":2,"2":0,"5":{"1":2,"2":0}},{"1":0,"2":0,"3":3},{"1":1,"2":0,"4":1}]},"6":{"1":[{"1":2,"2":0,"5":{"1":2,"2":0}},{"1":0,"2":0,"3":3},{"1":1,"2":0,"4":1}]},"7":{"1":[{"1":2,"2":0,"5":{"1":2,"2":0}},{"1":0,"2":0,"3":3},{"1":1,"2":0,"4":1}]},"8":{"1":[{"1":2,"2":0,"5":{"1":2,"2":0}},{"1":0,"2":0,"3":3},{"1":1,"2":0,"4":1}]},"9":0,"10":2,"11":4,"12":0,"14":{"1":2,"2":0},"15":"Calibri, sans-serif","16":11}">Xuguang Liu is a Software Engineer at Palo Alto Networks. He was most recently a Member Of Technical Staff at StackRox. He obtained his MS in Software Engineering from Central South University in 2017. He is active on Docker container security and Kubernetes security.</span>
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Xinyu Xing
- Assistant Professor, Pennsylvania State University
<div><span>Dr. Xinyu Xing is an Assistant Professor at Pennsylvania State University. His research interest includes exploring, designing, and developing new techniques to assess and robustify software. In addition, he is also interested in exploring AI techniques to perform highly accurate binary and malware analysis. His past research has been featured by many mainstream media, such as Technology Review, New Scientists, and NYTimes, etc.</span></div>
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Tongbo Luo
- Staff Security Software Engineer, Robinhood Inc.
Tongbo Luo is a Staff Security Software Engineer at Robinhood. He was most recently a Chief AI Security Scientist at JD.com and Senior Principal Security Researcher at Palo Alto Networks. He obtained his MS and PhD in computer science from Syracuse University in 2014. He is active on docker security, cyber security, IoT security, and applied machine learning for security problems.
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Kailiang Ying
- PhD, Syracuse University
Kailiang Ying is a Security Software Engineer at Google. He earned his PhD degree in 2019 at Syracuse University majoring in Computer Science. His research focuses on insider risk control, AI security, mobile security, and Trusted Execution Environment.
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