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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USENIX Security ’22 - Lancheng Qin, Dan Li, Ruifeng Li, Kang Wang - ‘Themis: Accelerating The Detection Of Route Origin Hijacking By Distinguishing Legitimate And Illegitimate MOAS’ →

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USENIX Security ’22 - David Koisser, Patrick Jauernig, Gene Tsudik, Ahmad-Reza Sadeghi - ‘V’CER: Efficient Certificate Validation In Constrained Networks ‘ →

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USENIX Security ’22 - Philipp Jeitner, Haya Shulman, Lucas Teichmann, Michael Waidner - ‘XDRI Attacks - and - How to Enhance Resilience of Residential Routers’ →

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USENIX Security ’22 - Tomas Hlavacek, Philipp Jeitner, Donika Mirdita, Haya Shulman, Michael Waidner - 'Stalloris: RPKI Downgrade Attack' →

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USENIX Security ’22 - Daniel Genkin, Noam Nissan, Roei Schuster, Eran Tromer - ‘Lend Me Your Ear: Passive Remote Physical Side Channels On PCs’ →

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USENIX Security ’22 - Yuanyuan Yuan, Qi Pang, Shuai Wang - ‘Automated Side Channel Analysis Of Media Software With Manifold Learning’ →

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USENIX Security ’22 - Yuanyuan Yuan, Qi Pang, Shuai Wang - 'Automated Side Channel Analysis Of Media Software With Manifold Learning' →

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USENIX Security ’22 - Ben Nassi, Yaron Pirutin, Raz Swisa, Adi Shamir, Yuval Elovici, Boris Zadov - ‘Lamphone: Passive Sound Recovery From A Desk Lamp’s Light Bulb Vibrations’ →

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USENIX Security ’22 - Henrique Teles Maia, Chang Xiao, Dingzeyu Li, Eitan Grinspun, Changxi Zheng - ‘Can One Hear The Shape Of A Neural Network?: Snooping The GPU Via Magnetic Side Channel’ →

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USENIX Security ’22 - Shunfan Zhou, Zhemin Yang, Dan Qiao, Peng Liu, Min Yang, Zhe Wang, Chenggang Wu - 'Ferry: State-Aware Symbolic Execution for Exploring State-Dependent Program Paths'

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USENIX Security ’22 - Yuchen Zhang, Chengbin Pang, Georgios Portokalidis, Nikos Triandopoulos, Jun Xu - ‘Debloating Address Sanitizer’ →

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USENIX Security ’22 - Qibin Chen, Jeremy Lacomis, Edward J. Schwartz, Claire Le Goues, Graham Neubig, Bogdan Vasilescu - ‘Augmenting Decompiler Output with Learned Variable Names and Types’ →

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USENIX Security ’22 - Yu Liang, Song Liu, Hong Hu - ‘Detecting Logical Bugs Of DBMS With Coverage-Based Guidance’ →

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USENIX Security ’22 - Alex Ozdemir, Dan Boneh - ‘Experimenting With Collaborative zk-SNARKs: Zero-Knowledge Proofs For Distributed Secrets ‘ →

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USENIX Security ’22 - Sebastian Angel, Andrew J. Blumberg, Eleftherios Ioannidis, Jess Woods - Efficient Representation of Numerical Optimization Problems for SNARKs →

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USENIX Security ’22 - Paul Grubbs, Arasu Arun, Ye Zhang, Joseph Bonneau, Michael Walfish - ‘Zero-Knowledge Middleboxes’ →

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