Source: securityboulevard.com – Author: Marc Handelman
Authors/Presenters: Jian Qu, Xiaobo Ma, Jianfeng Li, Xiapu Luo, Lei Xue, Junjie Zhang, Zhenhua Li, Li Feng, Xiaohong Guan
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.
*** This is a Security Bloggers Network syndicated blog from Infosecurity.US authored by Marc Handelman. Read the original post at: https://www.youtube-nocookie.com/embed/RmTHV2Q_nf4?si=GVd0gRyxOE1_FCuQ
Original Post URL: https://securityboulevard.com/2024/01/usenix-security-an-input-agnostic-hierarchical-deep-learning-framework-for-traffic-fingerprinting/
Category & Tags: Network Security,Security Bloggers Network,Information Security,Infosecurity Education,Open Access Research,Security Architecture,Security Conferences,Security Research,USENIX,USENIX Security ’23 – Network Security,Security Bloggers Network,Information Security,Infosecurity Education,Open Access Research,Security Architecture,Security Conferences,Security Research,USENIX,USENIX Security ’23
