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

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 - 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 -Tamer Abdelaziz, Aquinas Hobor - Smart Learning to Find Dumb Contracts →

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USENIX Security ’23 - Zhuo Zhang, Zhiqiang Lin, Marcelo Morales, Xiangyu Zhang, Kaiyuan Zhang - Your Exploit is Mine: Instantly Synthesizing Counterattack Smart Contract →

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

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 - *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 - 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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USENIX Security ’23 - Simone Aonzo, Yufei Han, Alessandro Mantovani, Davide Balzarotti - Humans vs. Machines in Malware Classification →

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USENIX Security ’23 - Yizheng Chen, Zhoujie Ding, David Wagner - # Continuous Learning for Android Malware Detection →

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USENIX Security ’23 - Rishabh Khandelwal, Asmit Nayak, Hamza Harkous, Kassem Fawaz - Automated Cookie Notice Analysis and Enforcement →

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USENIX Security ’23 - Yue Xiao, Zhengyi Li, Yue Qin, Xiaolong Bai, Jiale Guan, Xiaojing Liao, and Luyi Xing - Lalaine: Measuring and Characterizing Non-Compliance of Apple Privacy Labels →

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 - POLICYCOMP: Counterpart Comparison of Privacy Policies Uncovers Overbroad Personal Data Collection Practices →

Authors/Presenters: Lu Zhou, Chengyongxiao Wei, Tong Zhu, Guoxing Chen, Xiaokuan Zhang, Suguo Du, Hui Cao, Haojin Zhu

USENIX Security ’23 - Wenjun Qiu, David Lie, Lisa Austin - Calpric: Inclusive and Fine-grain Labeling of Privacy Policies with Crowdsourcing and Active Learning →

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.