USENIX Security ’23 - Wen Li, Jinyang Ruan, Guangbei Yi, Long Cheng, Xiapu Luo, Haipeng Cai - PolyFuzz: Holistic Greybox Fuzzing of Multi-Language Systems

Many thanks to USENIX for publishing their outstanding USENIX Security ’23 Presenter’s content, and the organizations strong commitment to Open Access. Originating from the conference’s events situated at the Anaheim Marriott; and via the organizations YouTube channel.

USENIX Security ’23 - Chen Chen, Rahul Kande, Nathan Nguyen, Flemming Andersen, and Aakash Tyagi, Ahmad-Reza Sadeghi, Jeyavijayan Rajendran - HyPFuzz: Formal-Assisted Processor Fuzzing

Many thanks to USENIX for publishing their outstanding USENIX Security ’23 Presenter’s content, and the organizations strong commitment to Open Access. Originating from the conference’s events situated at the Anaheim Marriott; and via the organizations YouTube channel.

USENIX Security ’23 - FISHFUZZ: Catch Deeper Bugs by Throwing Larger Nets

Authors/Presenters: Han Zheng, Jiayuan Zhang, Yuhang Huang, Zezhong Ren, He Wang, Chunjie Cao, Yuqing Zhang, Flavio Toffalini, Mathias Payer

Many thanks to USENIX for publishing their outstanding USENIX Security ’23 Presenter’s content, and the organizations strong commitment to Open Access. Originating from the conference’s events situated at the Anaheim Marriott; and via the organizations YouTube channel.

USENIX Security ’23 - Yongheng Chen, Rui Zhong, Yupeng Yang, Hong Hu, Dinghao Wu, Wenke Lee - µFUZZ: Redesign Of Parallel Fuzzing Using Microservice Architecture

Many thanks to USENIX for publishing their outstanding USENIX Security ’23 Presenter’s content, and the organizations strong commitment to Open Access. Originating from the conference’s events situated at the Anaheim Marriott; and via the organizations YouTube channel.

USENIX Security ’23 - MorFuzz: Fuzzing Processor Via Runtime Instruction Morphing enhanced Synchronizable Co-simulation

Authors/Presenters: Jinyan Xu, Yiyuan Liu, Sirui He, Haoran Lin, Yajin Zhou, Cong Wang

Many thanks to USENIX for publishing their outstanding USENIX Security ’23 Presenter’s content, and the organizations strong commitment to Open Access. Originating from the conference’s events situated at the Anaheim Marriott; and via the organizations YouTube channel.

USENIX Security ’23 - Evading Provenance-Based ML Detectors With Adversarial System Action

Author/Presenters: Kunal Mukherjee, Joshua Wiedemeier, Tianhao Wang, James Wei, Feng Chen, Muhyun Kim, Murat Kantarcioglu, and Kangkook Jee

Many thanks to USENIX for publishing their outstanding USENIX Security ’23 Presenter’s content, and the organizations strong commitment to Open Access. Originating from the conference’s events situated at the Anaheim Marriott; and via the organizations YouTube channel.