Vincent Bindschaedler
Vincent Bindschaedler
Assistant Professor at the University of Florida
Verified email at - Homepage
Cited by
Cited by
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
Understanding membership inferences on well-generalized learning models
Y Long, V Bindschaedler, L Wang, D Bu, X Wang, H Tang, CA Gunter, ...
arXiv preprint arXiv:1802.04889, 2018
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
Synthesizing plausible privacy-preserving location traces
V Bindschaedler, R Shokri
2016 IEEE Symposium on Security and Privacy (SP), 546-563, 2016
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
Plausible deniability for privacy-preserving data synthesis
V Bindschaedler, R Shokri, CA Gunter
arXiv preprint arXiv:1708.07975, 2017
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
Practicing oblivious access on cloud storage: the gap, the fallacy, and the new way forward
V Bindschaedler, M Naveed, X Pan, XF Wang, Y Huang
Proceedings of the 22nd ACM SIGSAC Conference on Computer and Communications …, 2015
The inconvenient truth about web certificates
N Vratonjic, J Freudiger, V Bindschaedler, JP Hubaux
Economics of information security and privacy iii, 79-117, 2013
The tao of inference in privacy-protected databases
V Bindschaedler, P Grubbs, D Cash, T Ristenpart, V Shmatikov
Cryptology ePrint Archive, 2017
Towards measuring membership privacy
Y Long, V Bindschaedler, CA Gunter
arXiv preprint arXiv:1712.09136, 2017
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
Achieving differential privacy in secure multiparty data aggregation protocols on star networks
V Bindschaedler, S Rane, AE Brito, V Rao, E Uzun
Proceedings of the Seventh ACM on Conference on Data and Application …, 2017
Method for differentially private aggregation in a star topology under a realistic adversarial model
S Rane, V Bindschaedler, AE Brito, E Uzun, V Rao
US Patent 10,223,547, 2019
How others compromise your location privacy: The case of shared public IPs at hotspots
N Vratonjic, K Huguenin, V Bindschaedler, JP Hubaux
Privacy Enhancing Technologies: 13th International Symposium, PETS 2013 …, 2013
A location-privacy threat stemming from the use of shared public IP addresses
N Vratonjic, K Huguenin, V Bindschaedler, JP Hubaux
IEEE Transactions on Mobile Computing 13 (11), 2445-2457, 2014
Sok: Memorization in general-purpose large language models
V Hartmann, A Suri, V Bindschaedler, D Evans, S Tople, R West
arXiv preprint arXiv:2310.18362, 2023
Demystifying limited adversarial transferability in automatic speech recognition systems
H Abdullah, A Karlekar, V Bindschaedler, P Traynor
International conference on learning representations (ICLR), 2021
Permpress: Machine learning-based pipeline to evaluate permissions in app privacy policies
MS Rahman, P Naghavi, B Kojusner, S Afroz, B Williams, S Rampazzi, ...
IEEE Access 10, 89248-89269, 2022
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
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