USENIX Security ’23 - Yu-Fu Fu, Jaehyuk Lee, Taesoo Kim - autofz: Automated Fuzzer Composition at Runtime

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 - Hui Peng, Zhihao Yao, Ardalan Amiri Sani, Dave (Jing) Tian, Mathias Payer - GLeeFuzz: Fuzzing WebGL Through Error Message Guided Mutation →

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 - Junjie Wang, Zhiyi Zhang, Shuang Liu, Xiaoning Du, Junjie Chen - FuzzJIT: Oracle-Enhanced Fuzzing for JavaScript Engine JIT Compiler →

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USENIX Security ’23 - Nils Bars, Moritz Schloegel, Tobias Scharnowski, Nico Schiller, Thorsten Holz - Fuzztruction: Using Fault Injection-based Fuzzing to Leverage Implicit Domain Knowledge →

Distinguished Paper Award Winner and Runner-Up Winner of the 2023 Internet Defense Prize

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 - William E. Bodell III, Sajad Meisami, Yue Duan - Proxy Hunting: Understanding and Characterizing Proxy-based Upgradeable Smart Contracts in Blockchains

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USENIX Security '23 - Zhiyuan Sun, Xiapu Luo, Yinqian Zhang - Panda: Security Analysis of Algorand Smart Contracts →

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USENIX Security ’23 - Confusum Contractum: Confused Deputy Vulnerabilities in Ethereum Smart Contracts →

Authors/Presenters: Fabio Gritti, Nicola Ruaro, Robert McLaughlin, Priyanka Bose, Dipanjan Das, Ilya Grishchenko, Christopher Kruegel, Giovanni Vigna

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 - Xiaoguang Li, Ninghui Li, Wenhai Sun, Neil Zhenqiang Gong, Hui Li - Fine-grained Poisoning Attack to Local Differential Privacy Protocols for Mean and Variance Estimation →

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 - Xiangyu Qi, Tinghao Xie, Jiachen T. Wang, Tong Wu, Saeed Mahloujifar, Prateek Mittal - Towards A Proactive ML Approach for Detecting Backdoor Poison Samples →

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 - Yi Zeng, Minzhou Pan, Himanshu Jahagirdar, Ming Jin, Lingjuan Lyu, Ruoxi Jia - Meta-Sift: How to Sift Out a Clean Subset in the Presence of Data Poisoning? →

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 - PrivTrace: Differentially Private Trajectory Synthesis by Adaptive Markov Models

Authors/Presenters: Haiming Wang, Zhikun Zhang, Tianhao Wang, Shibo He, Michael Backes, Jiming Chen, Yang Zhang

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USENIX Security ’23 - *Distinguished Paper Award Winner* - Tight Auditing of Differentially Private Machine Learning

Authors/Presenters: Milad Nasr, Jamie Hayes, Thomas Steinke, Borja Balle, Florian Tramèr, Matthew Jagielski, Nicholas Carlini, Andreas Terzis

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USENIX Security ’23 - What Are the Chances? Explaining the Epsilon Parameter in Differential Privacy →

Authors/Presenters: Priyanka Nanayakkara, Mary Anne Smart, Rachel Cummings, Gabriel Kaptchuk, Elissa M. Redmiles

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USENIX Security ’23 - PrivateFL: Accurate, Differentially Private Federated Learning via Personalized Data Transformation →

Authors/Presenters: Yuchen Yang, Bo Hui, Haolin Yuan, Neil Gong, Yinzhi Cao

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USENIX Security ’23 - Chenghong Wang, David Pujol, Kartik Nayak, Ashwin Machanavajjhal - Private Proof-of-Stake Blockchains using Differentially-Private Stake Distortion →

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USENIX Security ’23 - Detecting and Handling IoT Interaction Threats in Multi-Platform Multi-Control-Channel Smart Homes →

Authors/Presenters: Haotian Chi, Qiang Zeng, Xiaojiang Du

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USENIX Security ’23 - Internet Service Providers' And Individuals' Attitudes, Barriers, And Incentives To Secure IoT

Authors/Presenters: Nissy Sombatruang, Tristan Caulfield, Ingolf Becker, Akira Fujita, Takahiro Kasama, Koji Nakao, Daisuke Inoue

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USENIX Security ’23 - Examining Consumer Reviews to Understand Security and Privacy Issues in the Market of Smart Home Devices

Authors/Presenters: Swaathi Vetrivel, Veerle van Harten, Carlos H. Gañán, Michel van Eeten, Simon Parkin

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USENIX Security ’23 - Black-box Adversarial Example Attack Towards FCG Based Android Malware Detection Under Incomplete Feature Information →

Author/Presenters: Heng Li, Zhang Cheng, Bang Wu, Liheng Yuan, Cuiying Gao, Wei Yuan, Xiapu Luo

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USENIX Security ’23 - Keane Lucas, Samruddhi Pai, Weiran Lin, Lujo Bauer, Michael K. Reiter, Mahmood Sharif - Adversarial Training for Raw-Binary Malware Classifiers →

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