受强制性开放获取政策约束的文章 - Vincent Bindschaedler了解详情
可在其他位置公开访问的文章：14 篇
Leaky cauldron on the dark land: Understanding memory side-channel hazards in SGX
W Wang, G Chen, X Pan, Y Zhang, XF Wang, V Bindschaedler, H Tang, ...
Proceedings of the 2017 ACM SIGSAC Conference on Computer and Communications …, 2017
强制性开放获取政策： US National Science Foundation, US Department of Defense, US National …
Leakage-abuse attacks against order-revealing encryption
P Grubbs, K Sekniqi, V Bindschaedler, M Naveed, T Ristenpart
2017 IEEE symposium on security and privacy (SP), 655-672, 2017
强制性开放获取政策： US National Science Foundation
Enhanced membership inference attacks against machine learning models
J Ye, A Maddi, SK Murakonda, V Bindschaedler, R Shokri
Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications …, 2022
强制性开放获取政策： National Research Foundation, Singapore
Sok: The faults in our asrs: An overview of attacks against automatic speech recognition and speaker identification systems
H Abdullah, K Warren, V Bindschaedler, N Papernot, P Traynor
2021 IEEE symposium on security and privacy (SP), 730-747, 2021
强制性开放获取政策： US National Science Foundation, US Department of Defense, Natural Sciences …
The tao of inference in privacy-protected databases
V Bindschaedler, P Grubbs, D Cash, T Ristenpart, V Shmatikov
Cryptology ePrint Archive, 2017
强制性开放获取政策： US National Science Foundation, US Department of Defense
A pragmatic approach to membership inferences on machine learning models
Y Long, L Wang, D Bu, V Bindschaedler, X Wang, H Tang, CA Gunter, ...
2020 IEEE European Symposium on Security and Privacy (EuroS&P), 521-534, 2020
强制性开放获取政策： US National Science Foundation
Demystifying limited adversarial transferability in automatic speech recognition systems
H Abdullah, A Karlekar, V Bindschaedler, P Traynor
International conference on learning representations (ICLR), 2021
强制性开放获取政策： US National Science Foundation
Digital watermarking for detecting malicious intellectual property cores in noc architectures
S Charles, V Bindschaedler, P Mishra
IEEE Transactions on Very Large Scale Integration (VLSI) Systems 30 (7), 952-965, 2022
强制性开放获取政策： US National Science Foundation
Emi-lidar: uncovering vulnerabilities of lidar sensors in autonomous driving setting using electromagnetic interference
SHV Bhupathiraju, J Sheldon, LA Bauer, V Bindschaedler, T Sugawara, ...
Proceedings of the 16th ACM Conference on Security and Privacy in Wireless …, 2023
强制性开放获取政策： US National Science Foundation
Side-channel attacks on shared search indexes
L Wang, P Grubbs, J Lu, V Bindschaedler, D Cash, T Ristenpart
2017 IEEE Symposium on Security and Privacy (SP), 673-692, 2017
强制性开放获取政策： US National Science Foundation, US Department of Defense
Beyond Clipping: Equalization based Psychoacoustic Attacks against ASRs
H Abdullah, MS Rahman, C Peeters, C Gibson, W Garcia, ...
Asian Conference on Machine Learning, 672-688, 2021
强制性开放获取政策： US National Science Foundation
NRF: A Naive re-identification framework
SK Karmaker Santu, V Bindschadler, CX Zhai, CA Gunter
Proceedings of the 2018 Workshop on Privacy in the Electronic Society, 121-132, 2018
强制性开放获取政策： US National Science Foundation
Dp-mix: mixup-based data augmentation for differentially private learning
W Bao, F Pittaluga, VK BG, V Bindschaedler
Advances in Neural Information Processing Systems 36, 12154-12170, 2023
强制性开放获取政策： US National Science Foundation
Analyzing the monetization ecosystem of stalkerware
C Gibson, V Frost, K Platt, W Garcia, L Vargas, S Rampazzi, ...
Proceedings on Privacy Enhancing Technologies, 2022
强制性开放获取政策： US National Science Foundation, US Department of Defense
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