{ALASTOR}: Reconstructing the Provenance of Serverless Intrusions Datta P, Polinsky I, Inam MAdil, Bates A, Enck W. 2022. {ALASTOR}: Reconstructing the Provenance of Serverless Intrusions. 31st USENIX Security Symposium (USENIX Security 22). :2443--2460. Read more about {ALASTOR}: Reconstructing the Provenance of Serverless IntrusionsDBLPLog in to post commentsGoogle ScholarBibTeX
Seeing is Living? Rethinking the Security of Facial Liveness Verification in the Deepfake Era Li C, Wang L, Ji S, Zhang X, Xi Z, Guo S, Wang T. 2022. Seeing is Living? Rethinking the Security of Facial Liveness Verification in the Deepfake Era 31st USENIX Security Symposium (USENIX Security 22). :2673--2690. Read more about Seeing is Living? Rethinking the Security of Facial Liveness Verification in the Deepfake EraDBLPLog in to post commentsGoogle ScholarBibTeX
On the Necessity of Auditable Algorithmic Definitions for Machine Unlearning Thudi A, Jia H, Shumailov I, Papernot N. 2022. On the Necessity of Auditable Algorithmic Definitions for Machine Unlearning. 31st USENIX Security Symposium (USENIX Security 22). :4007--4022. Read more about On the Necessity of Auditable Algorithmic Definitions for Machine UnlearningDBLPLog in to post commentsGoogle ScholarBibTeX
Might I Get Pwned: A Second Generation Compromised Credential Checking Service Pal B, Islam M, Bohuk MSanusi, Sullivan N, Valenta L, Whalen T, Wood C, Ristenpart T, Chatterjee R. 2022. Might I Get Pwned: A Second Generation Compromised Credential Checking Service. 31st USENIX Security Symposium (USENIX Security 22). :1831--1848. Read more about Might I Get Pwned: A Second Generation Compromised Credential Checking ServiceDBLPLog in to post commentsGoogle ScholarBibTeX
Mitigating Membership Inference Attacks by {Self-Distillation} Through a Novel Ensemble Architecture Tang X, Mahloujifar S, Song L, Shejwalkar V, Na, sr M, Houmansadr A, Mittal P. 2022. Mitigating Membership Inference Attacks by {Self-Distillation} Through a Novel Ensemble Architecture. 31st USENIX Security Symposium (USENIX Security 22). :1433--1450. Read more about Mitigating Membership Inference Attacks by {Self-Distillation} Through a Novel Ensemble ArchitectureDBLPLog in to post commentsGoogle ScholarBibTeX
{OS-Aware} Vulnerability Prioritization via Differential Severity Analysis Wu Q, Xiao Y, Liao X, Lu K. 2022. {OS-Aware} Vulnerability Prioritization via Differential Severity Analysis. 31st USENIX Security Symposium (USENIX Security 22). :395--412. Read more about {OS-Aware} Vulnerability Prioritization via Differential Severity AnalysisDBLPLog in to post commentsGoogle ScholarBibTeX
Efficient Representation of Numerical Optimization Problems for {SNARKs} Angel S, Blumberg AJ, Ioannidis E, Woods J. 2022. Efficient Representation of Numerical Optimization Problems for {SNARKs}. 31st USENIX Security Symposium (USENIX Security 22). :4273--4290. Read more about Efficient Representation of Numerical Optimization Problems for {SNARKs}DBLPLog in to post commentsGoogle ScholarBibTeX
Experimenting with Collaborative {zk-SNARKs}: {Zero-Knowledge} Proofs for Distributed Secrets Ozdemir A, Boneh D. 2022. Experimenting with Collaborative {zk-SNARKs}: {Zero-Knowledge} Proofs for Distributed Secrets. 31st USENIX Security Symposium (USENIX Security 22). :4291--4308. Read more about Experimenting with Collaborative {zk-SNARKs}: {Zero-Knowledge} Proofs for Distributed SecretsDBLPLog in to post commentsGoogle ScholarBibTeX
Membership Inference Attacks and Defenses in Neural Network Pruning Yuan X, Zhang L. 2022. Membership Inference Attacks and Defenses in Neural Network Pruning. 31st USENIX Security Symposium (USENIX Security 22). :4561--4578. Read more about Membership Inference Attacks and Defenses in Neural Network PruningDBLPLog in to post commentsGoogle ScholarBibTeX
Efficient Differentially Private Secure Aggregation for Federated Learning via Hardness of Learning with Errors Stevens T, Skalka C, Vincent C, Ring J, Clark S, Near J. 2022. Efficient Differentially Private Secure Aggregation for Federated Learning via Hardness of Learning with Errors. 31st USENIX Security Symposium (USENIX Security 22). :1379--1395. Read more about Efficient Differentially Private Secure Aggregation for Federated Learning via Hardness of Learning with ErrorsDBLPLog in to post commentsGoogle ScholarBibTeX