Florian Tramèr
Florian Tramèr
Visiting Researcher, Google Brain
Verifierad e-postadress på cs.stanford.edu - Startsida
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Citeras av
Ensemble Adversarial Training: Attacks and Defenses
F Tramèr, A Kurakin, N Papernot, I Goodfellow, D Boneh, P McDaniel
International Conference on Learning Representations (ICLR), 2018
Advances and open problems in federated learning
P Kairouz, HB McMahan, B Avent, A Bellet, M Bennis, AN Bhagoji, ...
Foundations and Trends® in Machine Learning 14 (1), 2019
Stealing machine learning models via prediction apis
F Tramèr, F Zhang, A Juels, MK Reiter, T Ristenpart
25th {USENIX} Security Symposium ({USENIX} Security 16), 601-618, 2016
On evaluating adversarial robustness
N Carlini, A Athalye, N Papernot, W Brendel, J Rauber, D Tsipras, ...
arXiv preprint arXiv:1902.06705, 2019
The space of transferable adversarial examples
F Tramèr, N Papernot, I Goodfellow, D Boneh, P McDaniel
arXiv preprint arXiv:1704.03453, 2017
On adaptive attacks to adversarial example defenses
F Tramèr, N Carlini, W Brendel, A Madry
In 2020 Conference on Neural Information Processing Systems (NeurIPS) (Vol. 33), 2020
Physical adversarial examples for object detectors
D Song, K Eykholt, I Evtimov, E Fernandes, B Li, A Rahmati, F Tramèr, ...
12th {USENIX} Workshop on Offensive Technologies ({WOOT} 18), 2018
Slalom: Fast, verifiable and private execution of neural networks in trusted hardware
F Tramèr, D Boneh
International Conference on Learning Representations (ICLR), 2019
Adversarial training and robustness for multiple perturbations
F Tramèr, D Boneh
In 2019 Conference on Neural Information Processing Systems (NeurIPS) (Vol. 32), 2019
Extracting Training Data from Large Language Models
N Carlini, F Tramèr, E Wallace, M Jagielski, A Herbert-Voss, K Lee, ...
arXiv preprint arXiv:2012.07805, 2020
FairTest: Discovering unwarranted associations in data-driven applications
F Tramèr, V Atlidakis, R Geambasu, D Hsu, JP Hubaux, M Humbert, ...
2017 IEEE European Symposium on Security and Privacy (EuroS&P), 401-416, 2017
Sealed-glass proofs: Using transparent enclaves to prove and sell knowledge
F Tramèr, F Zhang, H Lin, JP Hubaux, A Juels, E Shi
2017 IEEE European Symposium on Security and Privacy (EuroS&P), 19-34, 2017
Differential privacy with bounded priors: reconciling utility and privacy in genome-wide association studies
F Tramèr, Z Huang, JP Hubaux, E Ayday
Proceedings of the 22nd ACM SIGSAC Conference on Computer and Communications …, 2015
Formal abstractions for attested execution secure processors
R Pass, E Shi, F Tramèr
Annual International Conference on the Theory and Applications of …, 2017
Sentinet: Detecting localized universal attacks against deep learning systems
E Chou, F Tramer, G Pellegrino
2020 IEEE Security and Privacy Workshops (SPW), 48-54, 2020
Privateride: A privacy-enhanced ride-hailing service
A Pham, I Dacosta, B Jacot-Guillarmod, K Huguenin, T Hajar, F Tramèr, ...
Proceedings on Privacy Enhancing Technologies 2017 (2), 38–56, 2017
Addressing Beacon re-identification attacks: quantification and mitigation of privacy risks
JL Raisaro, F Tramèr, Z Ji, D Bu, Y Zhao, K Carey, D Lloyd, H Sofia, ...
Journal of the American Medical Informatics Association 24 (4), 799-805, 2017
Better algorithms for LWE and LWR
A Duc, F Tramèr, S Vaudenay
Annual International Conference on the Theory and Applications of …, 2015
Enter the hydra: Towards principled bug bounties and exploit-resistant smart contracts
L Breidenbach, P Daian, F Tramèr, A Juels
27th {USENIX} Security Symposium ({USENIX} Security 18), 1335-1352, 2018
Fundamental tradeoffs between invariance and sensitivity to adversarial perturbations
F Tramèr, J Behrmann, N Carlini, N Papernot, JH Jacobsen
International Conference on Machine Learning, 9561-9571, 2020
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Artiklar 1–20