USENIX Enigma 2023 - Tudor Dumitras - ‘When Malware Changed Its Mind: How “Split Personalities” Affect Malware Analysis And Detection’ →
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USENIX Enigma 2023 - Emily Stark, Google - ‘The Dirty Laundry of the Web PKI’ →
Our thanks to USENIX for publishing their Presenter’s outstanding USENIX Enigma ’23 Conference content on the organization’s’ YouTube channel.
USENIX Enigma 2023 - Maxime Serrano, Figma, Inc. - ‘Navigating The Sandbox Buffet’ →
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USENIX Enigma 2023 - Ian Haken - ‘Adventures in Authentication and Authorization’ →
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USENIX Enigma 2023 - Kenn White, MongoDB - ‘The Edge Of Developed Practice In Searching Encrypted Data’ →
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USENIX Enigma 2023 - Moderator: Joseph Lorenzo Hall, Internet Society - Fireside Chat With Simson Garfinkel On Quantum Technologies →
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USENIX Enigma 2023 - Sarah Aoun - 'Working On The Frontlines: Privacy And Security With Vulnerable Populations' →
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USENIX Enigma 2023 - Lana Ramjit, Cornell Tech - ‘Technology Abuse Clinics For Survivors Of Intimate Partner Violence’ →
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USENIX Enigma 2023 - Lucy Simko, George Washington University - 'How Geopolitical Change Causes People To Become (More) Vulnerable' →
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USENIX Enigma 2023 - Panel: The Emperor’s New Clothes: Location Data And The Promise Of Anonymization' →
Complete Title: 'Panel: The Emperor’s New Clothes: Location Data and the Promise of Anonymization' 'Moderator: Aaron Alva, Federal Trade Commission, Panelists: Brandi M. Bennett; Jennifer King, Stanford University Institute for Human-Centered Artificial Intelligence; Beryl Lipton, Electronic Frontier Foundation'
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USENIX Security ’22 - ‘Are Your Sensitive Attributes Private? Novel Model Inversion Attribute Inference Attacks On Classification Models’ →
Complete Title: 'USENIX Security '22 - Shagufta Mehnaz, Sayanton V. Dibbo, Ehsanul Kabir, Ninghui Li, Elisa Bertino - ‘Are Your Sensitive Attributes Private? Novel Model Inversion Attribute Inference Attacks On Classification Models’
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USENIX Security ’22 - Xiaoyong Yuan, Lan Zhang - 'Membership Inference Attacks And Defenses In Neural Network Pruning' →
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USENIX Security ’22 - Zhikun Zhang, Min Chen, Michael Backes, Yun Shen, Yang Zhang - Inference Attacks Against Graph Neural Networks →
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USENIX Security ’22 - ‘ML-Doctor: Holistic Risk Assessment of Inference Attacks Against Machine Learning Models’ →
Complete Title: 'USENIX Security ’22 - Yugeng Liu, Rui Wen, Xinlei He, Ahmed Salem, Zhikun Zhang, Michael Backes, Emiliano De Cristofaro, Mario Fritz, Yang Zhang - ML-Doctor: Holistic Risk Assessment of Inference Attacks Against Machine Learning Models’
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