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Biblio
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Filters: Author is Wenbo Guo [Clear All Filters]
AIRS: Explanation for Deep Reinforcement Learning based Security Applications. 32nd USENIX Security Symposium (USENIX Security 23). :7375--7392.
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2023. PATROL: Provable Defense against Adversarial Policy in Two-player Games. 32nd USENIX Security Symposium (USENIX Security 23). :3943--3960.
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2023. Unique Identification of 50,000+ Virtual Reality Users from Head & Hand Motion Data. 32nd USENIX Security Symposium (USENIX Security 23). :895--910.
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2023. Adversarial Policy Training against Deep Reinforcement Learning. 30th USENIX Security Symposium (USENIX Security 21). :1883--1900.
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2021. CADE: Detecting and Explaining Concept Drift Samples for Security Applications. 30th USENIX Security Symposium (USENIX Security 21). :2327--2344.
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2021. DEEPVSA: Facilitating Value-set Analysis with Deep Learning for Postmortem Program Analysis. 28th USENIX Security Symposium (USENIX Security 19). :1787--1804.
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2019. Towards the Detection of Inconsistencies in Public Security Vulnerability Reports. 28th USENIX Security Symposium (USENIX Security 19). :869--885.
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2019.