USENIX | The Advanced Computing Systems Association

{zkCross}: A Novel Architecture for {Cross-Chain} {Privacy-Preserving} Auditing

Guo Y, Xu M, Cheng X, Yu D, Qiu W, Qu G, Wang W, Song M. 2024. {zkCross}: A Novel Architecture for {Cross-Chain} {Privacy-Preserving} Auditing. 33rd USENIX Security Symposium (USENIX Security 24). :6219--6235.

{MicGuard}: A Comprehensive Detection System against Out-of-band Injection Attacks for Different Level Microphone-based Devices

Liu T, Lin F, Ba Z, Lu L, Qin Z, Ren K. 2024. {MicGuard}: A Comprehensive Detection System against Out-of-band Injection Attacks for Different Level Microphone-based Devices. 33rd USENIX Security Symposium (USENIX Security 24). :3963--3978.

Simulated Stress: A Case Study of the Effects of a Simulated Phishing Campaign on Employees' Perception, Stress and {Self-Efficacy}

Schöps M, Gutfleisch M, Wolter E, M. Sasse A. 2024. Simulated Stress: A Case Study of the Effects of a Simulated Phishing Campaign on Employees' Perception, Stress and {Self-Efficacy}. 33rd USENIX Security Symposium (USENIX Security 24). :4589--4606.

Exploring {ChatGPT's} Capabilities on Vulnerability Management

Liu P, Liu J, Fu L, Lu K, Xia Y, Zhang X, Chen W, Weng H, Ji S, Wang W. 2024. Exploring {ChatGPT's} Capabilities on Vulnerability Management. 33rd USENIX Security Symposium (USENIX Security 24). :811--828.

Gradients Look Alike: Sensitivity is Often Overestimated in {DP-SGD}

Thudi A, Jia H, Meehan C, Shumailov I, Papernot N. 2024. Gradients Look Alike: Sensitivity is Often Overestimated in {DP-SGD}. 33rd USENIX Security Symposium (USENIX Security 24). :973--990.

{SAIN}: Improving {ICS} Attack Detection Sensitivity via {State-Aware} Invariants

Abbas SGhazanfar, Ozmen MOzgur, Alsaheel A, Khan A, Z. Celik B, Xu D. 2024. {SAIN}: Improving {ICS} Attack Detection Sensitivity via {State-Aware} Invariants. 33rd USENIX Security Symposium (USENIX Security 24). :6597--6613.

Voodoo: Memory Tagging, Authenticated Encryption, and Error Correction through {MAGIC}

Lamster L, Unterguggenberger M, Schrammel D, Mangard S. 2024. Voodoo: Memory Tagging, Authenticated Encryption, and Error Correction through {MAGIC}. 33rd USENIX Security Symposium (USENIX Security 24). :7159--7176.

Uncovering the Limits of Machine Learning for Automatic Vulnerability Detection

Risse N, Böhme M. 2024. Uncovering the Limits of Machine Learning for Automatic Vulnerability Detection. 33rd USENIX Security Symposium (USENIX Security 24). :4247--4264.

{SSRF} vs. Developers: A Study of {SSRF-Defenses} in {PHP} Applications

Wessels M, Koch S, Pellegrino G, Johns M. 2024. {SSRF} vs. Developers: A Study of {SSRF-Defenses} in {PHP} Applications. 33rd USENIX Security Symposium (USENIX Security 24). :6777--6794.

Deciphering Textual Authenticity: A Generalized Strategy through the Lens of Large Language Semantics for Detecting Human vs. {Machine-Generated} Text

Bethany M, Wherry B, Bethany E, Vishwamitra N, Rios A, Najafirad P. 2024. Deciphering Textual Authenticity: A Generalized Strategy through the Lens of Large Language Semantics for Detecting Human vs. {Machine-Generated} Text. 33rd USENIX Security Symposium (USENIX Security 24). :5805--5822.

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