{Closed-Form} Bounds for {DP-SGD} against Record-level Inference Attacks Cherubin G, Kopf B, Paverd A, Tople S, Wutschitz L, Zanella-Béguelin S. 2024. {Closed-Form} Bounds for {DP-SGD} against Record-level Inference Attacks. 33rd USENIX Security Symposium (USENIX Security 24). :4819--4836. Read more about {Closed-Form} Bounds for {DP-SGD} against Record-level Inference AttacksDBLPLog in to post commentsGoogle ScholarBibTeX
{SmartCookie}: Blocking {Large-Scale} {SYN} Floods with a {Split-Proxy} Defense on Programmable Data Planes Yoo S, Chen X, Rexford J. 2024. {SmartCookie}: Blocking {Large-Scale} {SYN} Floods with a {Split-Proxy} Defense on Programmable Data Planes. 33rd USENIX Security Symposium (USENIX Security 24). :217--234. Read more about {SmartCookie}: Blocking {Large-Scale} {SYN} Floods with a {Split-Proxy} Defense on Programmable Data PlanesDBLPLog in to post commentsGoogle ScholarBibTeX
When the User Is Inside the User Interface: An Empirical Study of {UI} Security Properties in Augmented Reality Cheng K, Bhattacharya A, Lin M, Lee J, Kumar A, Tian JF, Kohno T, Roesner F. 2024. When the User Is Inside the User Interface: An Empirical Study of {UI} Security Properties in Augmented Reality. 33rd USENIX Security Symposium (USENIX Security 24). :2707--2723. Read more about When the User Is Inside the User Interface: An Empirical Study of {UI} Security Properties in Augmented RealityDBLPLog in to post commentsGoogle ScholarBibTeX
{ACAI}: Protecting Accelerator Execution with Arm Confidential Computing Architecture Sridhara S, Bertschi A, Schlüter B, Kuhne M, Aliberti F, Shinde S. 2024. {ACAI}: Protecting Accelerator Execution with Arm Confidential Computing Architecture. 33rd USENIX Security Symposium (USENIX Security 24). :3423--3440. Read more about {ACAI}: Protecting Accelerator Execution with Arm Confidential Computing ArchitectureDBLPLog in to post commentsGoogle ScholarBibTeX
How {WEIRD} is Usable Privacy and Security Research? Hasegawa AA, Inoue D, Akiyama M. 2024. How {WEIRD} is Usable Privacy and Security Research? 33rd USENIX Security Symposium (USENIX Security 24). :3241--3258. Read more about How {WEIRD} is Usable Privacy and Security Research?DBLPLog in to post commentsGoogle ScholarBibTeX
"I Don't Know If We're Doing Good. I Don't Know If We're Doing Bad": Investigating How Practitioners Scope, Motivate, and Conduct Privacy Work When Developing {AI} Products Lee H-P, Gao L, Yang S, Forlizzi J, Das S. 2024. "I Don't Know If We're Doing Good. I Don't Know If We're Doing Bad": Investigating How Practitioners Scope, Motivate, and Conduct Privacy Work When Developing {AI} Products. 33rd USENIX Security Symposium (USENIX Security 24). :4873--4890. Read more about "I Don't Know If We're Doing Good. I Don't Know If We're Doing Bad": Investigating How Practitioners Scope, Motivate, and Conduct Privacy Work When Developing {AI} ProductsDBLPLog in to post commentsGoogle ScholarBibTeX
A High Coverage Cybersecurity Scale Predictive of User Behavior Sawaya Y, Lu S, Isohara T, Sharif M. 2024. A High Coverage Cybersecurity Scale Predictive of User Behavior. 33rd USENIX Security Symposium (USENIX Security 24). :5503--5520. Read more about A High Coverage Cybersecurity Scale Predictive of User BehaviorDBLPLog in to post commentsGoogle ScholarBibTeX
{NetShaper}: A Differentially Private Network {Side-Channel} Mitigation System Sabzi A, Vora R, Goswami S, Seltzer M, Lécuyer M, Mehta A. 2024. {NetShaper}: A Differentially Private Network {Side-Channel} Mitigation System. 33rd USENIX Security Symposium (USENIX Security 24). :3385--3402. Read more about {NetShaper}: A Differentially Private Network {Side-Channel} Mitigation SystemDBLPLog in to post commentsGoogle ScholarBibTeX
Splitting the Difference on Adversarial Training Levi M, Kontorovich A. 2024. Splitting the Difference on Adversarial Training. 33rd USENIX Security Symposium (USENIX Security 24). :3639--3656. Read more about Splitting the Difference on Adversarial TrainingDBLPLog in to post commentsGoogle ScholarBibTeX
Quantifying Privacy Risks of Prompts in Visual Prompt Learning Wu Y, Wen R, Backes M, Berrang P, Humbert M, Shen Y, Zhang Y. 2024. Quantifying Privacy Risks of Prompts in Visual Prompt Learning. 33rd USENIX Security Symposium (USENIX Security 24). :5841--5858. Read more about Quantifying Privacy Risks of Prompts in Visual Prompt LearningDBLPLog in to post commentsGoogle ScholarBibTeX