USENIX | The Advanced Computing Systems Association

Exploring digital security and privacy in relative poverty in Germany through qualitative interviews

Kostan A, Olschar S, Simko L, Acar Y. 2024. Exploring digital security and privacy in relative poverty in Germany through qualitative interviews. 33rd USENIX Security Symposium (USENIX Security 24). :2029--2046.

Enabling Contextual Soft Moderation on Social Media through Contrastive Textual Deviation

Paudel P, Saeed MHammas, Auger R, Wells C, Stringhini G. 2024. Enabling Contextual Soft Moderation on Social Media through Contrastive Textual Deviation. 33rd USENIX Security Symposium (USENIX Security 24). :4409--4426.

{HECKLER}: Breaking Confidential {VMs} with Malicious Interrupts

Schlüter B, Sridhara S, Kuhne M, Bertschi A, Shinde S. 2024. {HECKLER}: Breaking Confidential {VMs} with Malicious Interrupts. 33rd USENIX Security Symposium (USENIX Security 24). :3459--3476.

Snowflake, a censorship circumvention system using temporary {WebRTC} proxies

Bocovich C, Breault A, Fifield D, Serene, Wang X. 2024. Snowflake, a censorship circumvention system using temporary {WebRTC} proxies. 33rd USENIX Security Symposium (USENIX Security 24). :2635--2652.

{MD-ML}: Super Fast {Privacy-Preserving} Machine Learning for Malicious Security with a Dishonest Majority

Yuan B, Yang S, Zhang Y, Ding N, Gu D, Sun S-F. 2024. {MD-ML}: Super Fast {Privacy-Preserving} Machine Learning for Malicious Security with a Dishonest Majority. 33rd USENIX Security Symposium (USENIX Security 24). :2227--2244.

{DeepEclipse}: How to Break {White-Box} {DNN-Watermarking} Schemes

Pegoraro A, Segna C, Kumari K, Sadeghi A-R. 2024. {DeepEclipse}: How to Break {White-Box} {DNN-Watermarking} Schemes. 33rd USENIX Security Symposium (USENIX Security 24). :5287--5304.

Large Language Models for Code Analysis: Do {LLMs} Really Do Their Job?

Fang C, Miao N, Srivastav S, Liu J, Zhang R, Fang R, Asmita, Tsang R, Nazari N, Wang H et al.. 2024. Large Language Models for Code Analysis: Do {LLMs} Really Do Their Job? 33rd USENIX Security Symposium (USENIX Security 24). :829--846.

Scalable Zero-knowledge Proofs for Non-linear Functions in Machine Learning

Hao M, Chen H, Li H, Weng C, Zhang Y, Yang H, Zhang T. 2024. Scalable Zero-knowledge Proofs for Non-linear Functions in Machine Learning. 33rd USENIX Security Symposium (USENIX Security 24). :3819--3836.

{SoK}: All You Need to Know About {On-Device} {ML} Model Extraction - The Gap Between Research and Practice

Nayan T, Guo Q, Duniawi MAl, Botacin M, Uluagac S, Sun R. 2024. {SoK}: All You Need to Know About {On-Device} {ML} Model Extraction - The Gap Between Research and Practice. 33rd USENIX Security Symposium (USENIX Security 24). :5233--5250.

{AttackGNN}: {Red-Teaming} {GNNs} in Hardware Security Using Reinforcement Learning

Gohil V, Patnaik S, Kalathil D, Rajendran J. 2024. {AttackGNN}: {Red-Teaming} {GNNs} in Hardware Security Using Reinforcement Learning. 33rd USENIX Security Symposium (USENIX Security 24). :73--90.

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