Tickets or Privacy? Understand the Ecosystem of Chinese Ticket Grabbing Apps Liu Y, Zhang Y, Liu B, Duan H, Li Q, Liu M, Li R, Yao J. 2024. Tickets or Privacy? Understand the Ecosystem of Chinese Ticket Grabbing Apps 33rd USENIX Security Symposium (USENIX Security 24). :5107--5124. Read more about Tickets or Privacy? Understand the Ecosystem of Chinese Ticket Grabbing AppsDBLPGoogle ScholarBibTeX
Secure Account Recovery for a {Privacy-Preserving} Web Service [Anonymous]. 2024. Secure Account Recovery for a {Privacy-Preserving} Web Service. 33rd USENIX Security Symposium (USENIX Security 24). :1993--2010. Read more about Secure Account Recovery for a {Privacy-Preserving} Web ServiceDBLPGoogle ScholarBibTeX
{REMARK-LLM}: A Robust and Efficient Watermarking Framework for Generative Large Language Models Zhang R, Hussain SSamarah, Neekhara P, Koushanfar F. 2024. {REMARK-LLM}: A Robust and Efficient Watermarking Framework for Generative Large Language Models. 33rd USENIX Security Symposium (USENIX Security 24). :1813--1830. Read more about {REMARK-LLM}: A Robust and Efficient Watermarking Framework for Generative Large Language ModelsDBLPGoogle ScholarBibTeX
{MIST}: Defending Against Membership Inference Attacks Through {Membership-Invariant} Subspace Training Li J, Li N, Ribeiro B. 2024. {MIST}: Defending Against Membership Inference Attacks Through {Membership-Invariant} Subspace Training. 33rd USENIX Security Symposium (USENIX Security 24). :2387--2404. Read more about {MIST}: Defending Against Membership Inference Attacks Through {Membership-Invariant} Subspace TrainingDBLPGoogle ScholarBibTeX
{π-Jack}: {Physical-World} Adversarial Attack on Monocular Depth Estimation with Perspective Hijacking Zheng T, Hu J, Tan R, Zhang Y, He Y, Luo J. 2024. {π-Jack}: {Physical-World} Adversarial Attack on Monocular Depth Estimation with Perspective Hijacking. 33rd USENIX Security Symposium (USENIX Security 24). :7321--7338. Read more about {π-Jack}: {Physical-World} Adversarial Attack on Monocular Depth Estimation with Perspective HijackingDBLPGoogle ScholarBibTeX
Lurking in the shadows: Unveiling Stealthy Backdoor Attacks against Personalized Federated Learning Lyu X, Han Y, Wang W, Liu J, Zhu Y, Xu G, Liu J, Zhang X. 2024. Lurking in the shadows: Unveiling Stealthy Backdoor Attacks against Personalized Federated Learning. 33rd USENIX Security Symposium (USENIX Security 24). :4157--4174. Read more about Lurking in the shadows: Unveiling Stealthy Backdoor Attacks against Personalized Federated LearningDBLPGoogle ScholarBibTeX
Pandawan: Quantifying Progress in Linux-based Firmware Rehosting Angelakopoulos I, Stringhini G, Egele M. 2024. Pandawan: Quantifying Progress in Linux-based Firmware Rehosting. 33rd USENIX Security Symposium (USENIX Security 24). :5859--5876. Read more about Pandawan: Quantifying Progress in Linux-based Firmware RehostingDBLPGoogle ScholarBibTeX
Reconstructing training data from document understanding models Dentan J, Paran A, Shabou A. 2024. Reconstructing training data from document understanding models. 33rd USENIX Security Symposium (USENIX Security 24). :6813--6830. Read more about Reconstructing training data from document understanding modelsDBLPGoogle ScholarBibTeX
Leveraging Semantic Relations in Code and Data to Enhance Taint Analysis of Embedded Systems Zhao J, Li Y, Zou Y, Liang Z, Xiao Y, Li Y, Peng B, Zhong N, Wang X, Wang W et al.. 2024. Leveraging Semantic Relations in Code and Data to Enhance Taint Analysis of Embedded Systems. 33rd USENIX Security Symposium (USENIX Security 24). :7067--7084. Read more about Leveraging Semantic Relations in Code and Data to Enhance Taint Analysis of Embedded SystemsDBLPGoogle ScholarBibTeX
{Near-Optimal} Constrained Padding for Object Retrievals with Dependencies Jain P, Reed AC, Reiter MK. 2024. {Near-Optimal} Constrained Padding for Object Retrievals with Dependencies. 33rd USENIX Security Symposium (USENIX Security 24). :4087--4102. Read more about {Near-Optimal} Constrained Padding for Object Retrievals with DependenciesDBLPGoogle ScholarBibTeX