Hijacking Attacks against Neural Network by Analyzing Training Data Ge Y, Wang Q, Huang H, Li Q, Wang C, Shen C, Zhao L, Jiang P, Fang Z, Zhang S. 2024. Hijacking Attacks against Neural Network by Analyzing Training Data. 33rd USENIX Security Symposium (USENIX Security 24). :6867--6884. Read more about Hijacking Attacks against Neural Network by Analyzing Training DataDBLPLog in to post commentsGoogle ScholarBibTeX
33rd {USENIX} Security Symposium ({USENIX} Security 24) [Anonymous]. 2024. 33rd {USENIX} Security Symposium ({USENIX} Security 24). 33rd USENIX Security Symposium (USENIX Security 24). Read more about 33rd {USENIX} Security Symposium ({USENIX} Security 24)DBLPLog in to post commentsGoogle ScholarBibTeX
Accelerating Secure Collaborative Machine Learning with {Protocol-Aware} {RDMA} Ren Z, Fan M, Wang Z, Zhang J, Zeng C, Huang Z, Hong C, Chen K. 2024. Accelerating Secure Collaborative Machine Learning with {Protocol-Aware} {RDMA}. 33rd USENIX Security Symposium (USENIX Security 24). :2245--2261. Read more about Accelerating Secure Collaborative Machine Learning with {Protocol-Aware} {RDMA}DBLPLog in to post commentsGoogle ScholarBibTeX
{ABACuS}: {All-Bank} Activation Counters for Scalable and Low Overhead {RowHammer} Mitigation Olgun A, Tugrul YCan, Bostanci N, Yuksel IEmir, Luo H, Rhyner S, Yaglikci AGiray, Oliveira GF, Mutlu O. 2024. {ABACuS}: {All-Bank} Activation Counters for Scalable and Low Overhead {RowHammer} Mitigation. 33rd USENIX Security Symposium (USENIX Security 24). :1579--1596. Read more about {ABACuS}: {All-Bank} Activation Counters for Scalable and Low Overhead {RowHammer} MitigationDBLPLog in to post commentsGoogle ScholarBibTeX
On Data Fabrication in Collaborative Vehicular Perception: Attacks and Countermeasures Zhang Q, Jin S, Zhu R, Sun J, Zhang X, Chen QAlfred, Z. Mao M. 2024. On Data Fabrication in Collaborative Vehicular Perception: Attacks and Countermeasures. 33rd USENIX Security Symposium (USENIX Security 24). :6309--6326. Read more about On Data Fabrication in Collaborative Vehicular Perception: Attacks and CountermeasuresDBLPLog in to post commentsGoogle ScholarBibTeX
Understanding the Security and Privacy Implications of Online Toxic Content on Refugees Arunasalam A, Farrukh H, Tekcan E, Z. Celik B. 2024. Understanding the Security and Privacy Implications of Online Toxic Content on Refugees. 33rd USENIX Security Symposium (USENIX Security 24). :4373--4390. Read more about Understanding the Security and Privacy Implications of Online Toxic Content on RefugeesDBLPLog in to post commentsGoogle ScholarBibTeX
Automated {Large-Scale} Analysis of Cookie Notice Compliance Bouhoula A, Kubicek K, Zac A, Cotrini C, Basin D. 2024. Automated {Large-Scale} Analysis of Cookie Notice Compliance. 33rd USENIX Security Symposium (USENIX Security 24). :1723--1739. Read more about Automated {Large-Scale} Analysis of Cookie Notice ComplianceDBLPLog in to post commentsGoogle ScholarBibTeX
You Cannot Escape Me: Detecting Evasions of {SIEM} Rules in Enterprise Networks Uetz R, Herzog M, Hackländer L, Schwarz S, Henze M. 2024. You Cannot Escape Me: Detecting Evasions of {SIEM} Rules in Enterprise Networks. 33rd USENIX Security Symposium (USENIX Security 24). :5179--5196. Read more about You Cannot Escape Me: Detecting Evasions of {SIEM} Rules in Enterprise NetworksDBLPLog in to post commentsGoogle ScholarBibTeX
Can Virtual Reality Protect Users from Keystroke Inference Attacks? Yang Z, Sarwar Z, Hwang I, Bhaskar R, Zhao BY, Zheng H. 2024. Can Virtual Reality Protect Users from Keystroke Inference Attacks? 33rd USENIX Security Symposium (USENIX Security 24). :2725--2742. Read more about Can Virtual Reality Protect Users from Keystroke Inference Attacks?DBLPLog in to post commentsGoogle ScholarBibTeX
Neural Network Semantic Backdoor Detection and Mitigation: A {Causality-Based} Approach Sun B, Sun J, Koh W, Shi J. 2024. Neural Network Semantic Backdoor Detection and Mitigation: A {Causality-Based} Approach. 33rd USENIX Security Symposium (USENIX Security 24). :2883--2900. Read more about Neural Network Semantic Backdoor Detection and Mitigation: A {Causality-Based} ApproachDBLPLog in to post commentsGoogle ScholarBibTeX