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Florian Tramèr
Florian Tramèr
Assistant Professor of Computer Science, ETH Zurich
Verified email at inf.ethz.ch - Homepage
Title
Cited by
Cited by
Year
(Certified!!) Adversarial Robustness for Free!
N Carlini, F Tramèr, K Dvijotham, L Rice, M Sun, JZ Kolter
International Conference on Learning Representations (ICLR), 2023
182023
Academic Author How Names Order To
F Tramer, D Ippolito, N Carlini, C Zhang, M Jagielski, M Nasr, K Lee, ...
2023
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
982017
Advances and open problems in federated learning
P Kairouz, HB McMahan, B Avent, A Bellet, M Bennis, AN Bhagoji, ...
arXiv preprint arXiv:1912.04977, 0
319*
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
54192019
Adversarial training and robustness for multiple perturbations
F Tramèr, D Boneh
Conference on Neural Information Processing Systems (NeurIPS) 32, 2019
3962019
AdVersarial: Perceptual Ad Blocking meets Adversarial Machine Learning
F Tramèr, P Dupré, G Rusak, G Pellegrino, D Boneh
ACM SIGSAC Conference on Computer and Communications Security (CCS), 2019
79*2019
Algorithmic Fairness Revisited
F Tramèr
2015
Antipodes of Label Differential Privacy: PATE and ALIBI
M Malek Esmaeili, I Mironov, K Prasad, I Shilov, F Tramèr
Conference on Neural Information Processing Systems (NeurIPS) 34, 2021
59*2021
Are aligned neural networks adversarially aligned?
N Carlini, M Nasr, CA Choquette-Choo, M Jagielski, I Gao, PWW Koh, ...
Advances in Neural Information Processing Systems 36, 2024
1262024
Backdoor attacks for in-context learning with language models
N Kandpal, M Jagielski, F Tramèr, N Carlini
arXiv preprint arXiv:2307.14692, 2023
332023
Better algorithms for LWE and LWR
A Duc, F Tramèr, S Vaudenay
Annual International Conference on the Theory and Applications of …, 2015
722015
Chainlink 2.0: Next Steps in the Evolution of Decentralized Oracle Networks
L Breidenbach, C Cachin, B Chan, A Coventry, S Ellis, A Juels, ...
180*2021
Competition Report: Finding Universal Jailbreak Backdoors in Aligned LLMs
J Rando, F Croce, K Mitka, S Shabalin, M Andriushchenko, N Flammarion, ...
arXiv preprint arXiv:2404.14461, 2024
2024
Considerations for differentially private learning with large-scale public pretraining
F Tramèr, G Kamath, N Carlini
arXiv preprint arXiv:2212.06470, 2022
38*2022
Counterfactual memorization in neural language models
C Zhang, D Ippolito, K Lee, M Jagielski, F Tramèr, N Carlini
Advances in Neural Information Processing Systems 36, 39321-39362, 2023
772023
Data Poisoning Won't Save You From Facial Recognition
E Radiya-Dixit, S Hong, N Carlini, F Tramèr
International Conference on Learning Representations (ICLR), 2022
512022
Debugging Differential Privacy: A Case Study for Privacy Auditing
F Tramèr, A Terzis, T Steinke, S Song, M Jagielski, N Carlini
arXiv preprint arXiv:2202.12219, 2022
332022
Detecting adversarial examples is (nearly) as hard as classifying them
F Tramèr
International Conference on Machine Learning (ICML), 2022
572022
Differential privacy with bounded priors: reconciling utility and privacy in genome-wide association studies
F Tramèr, Z Huang, JP Hubaux, E Ayday
22nd ACM SIGSAC Conference on Computer and Communications Security (CCS …, 2015
1152015
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