Leakage of Dataset Properties in {Multi-Party} Machine Learning Zhang W, Tople S, Ohrimenko O. 2021. Leakage of Dataset Properties in {Multi-Party} Machine Learning. 30th USENIX Security Symposium (USENIX Security 21). :2687--2704. Read more about Leakage of Dataset Properties in {Multi-Party} Machine LearningDBLPLog in to post commentsGoogle ScholarBibTeX
{Communication–Computation} Trade-offs in {PIR} Ali A, Lepoint T, Patel S, Raykova M, Schoppmann P, Seth K, Yeo K. 2021. {Communication–Computation} Trade-offs in {PIR}. 30th USENIX Security Symposium (USENIX Security 21). :1811--1828. Read more about {Communication–Computation} Trade-offs in {PIR}DBLPLog in to post commentsGoogle ScholarBibTeX
When Malware Changed Its Mind: An Empirical Study of Variable Program Behaviors in the Real World Avllazagaj E, Zhu Z, Bilge L, Balzarotti D, Dumitras T. 2021. When Malware Changed Its Mind: An Empirical Study of Variable Program Behaviors in the Real World. 30th USENIX Security Symposium (USENIX Security 21). :3487--3504. Read more about When Malware Changed Its Mind: An Empirical Study of Variable Program Behaviors in the Real WorldDBLPLog in to post commentsGoogle ScholarBibTeX
Dompteur: Taming Audio Adversarial Examples Eisenhofer T, Schönherr L, Frank J, Speckemeier L, Kolossa D, Holz T. 2021. Dompteur: Taming Audio Adversarial Examples. 30th USENIX Security Symposium (USENIX Security 21). :2309--2326. Read more about Dompteur: Taming Audio Adversarial ExamplesDBLPLog in to post commentsGoogle ScholarBibTeX
Dirty Road Can Attack: Security of Deep Learning based Automated Lane Centering under {Physical-World} Attack Sato T, Shen J, Wang N, Jia Y, Lin X, Chen QAlfred. 2021. Dirty Road Can Attack: Security of Deep Learning based Automated Lane Centering under {Physical-World} Attack. 30th USENIX Security Symposium (USENIX Security 21). :3309--3326. Read more about Dirty Road Can Attack: Security of Deep Learning based Automated Lane Centering under {Physical-World} AttackDBLPLog in to post commentsGoogle ScholarBibTeX
{Double-Cross} Attacks: Subverting Active Learning Systems Vicarte JRodrigo Sa, Wang G, Fletcher CW. 2021. {Double-Cross} Attacks: Subverting Active Learning Systems. 30th USENIX Security Symposium (USENIX Security 21). :1593--1610. Read more about {Double-Cross} Attacks: Subverting Active Learning SystemsDBLPLog in to post commentsGoogle ScholarBibTeX
{DEFInit}: An Analysis of Exposed Android Init Routines Ji Y, Elsabagh M, Johnson R, Stavrou A. 2021. {DEFInit}: An Analysis of Exposed Android Init Routines. 30th USENIX Security Symposium (USENIX Security 21). :3685--3702. Read more about {DEFInit}: An Analysis of Exposed Android Init RoutinesDBLPLog in to post commentsGoogle ScholarBibTeX
Reducing Test Cases with Attention Mechanism of Neural Networks Zhang X, Chen J, Feng C, Li R, Su Y, Zhang B, Lei J, Tang C. 2021. Reducing Test Cases with Attention Mechanism of Neural Networks. 30th USENIX Security Symposium (USENIX Security 21). :2075--2092. Read more about Reducing Test Cases with Attention Mechanism of Neural NetworksDBLPLog in to post commentsGoogle ScholarBibTeX
Frontal Attack: Leaking {Control-Flow} in {SGX} via the {CPU} Frontend Puddu I, Schneider M, Haller M, Capkun S. 2021. Frontal Attack: Leaking {Control-Flow} in {SGX} via the {CPU} Frontend. 30th USENIX Security Symposium (USENIX Security 21). :663--680. Read more about Frontal Attack: Leaking {Control-Flow} in {SGX} via the {CPU} FrontendDBLPLog in to post commentsGoogle ScholarBibTeX
{APICraft}: Fuzz Driver Generation for Closed-source {SDK} Libraries Zhang C, Lin X, Li Y, Xue Y, Xie J, Chen H, Ying X, Wang J, Liu Y. 2021. {APICraft}: Fuzz Driver Generation for Closed-source {SDK} Libraries. 30th USENIX Security Symposium (USENIX Security 21). :2811--2828. Read more about {APICraft}: Fuzz Driver Generation for Closed-source {SDK} LibrariesDBLPLog in to post commentsGoogle ScholarBibTeX