Nicolas Papernot
Orcid: 0000-0001-5078-7233Affiliations:
- University of Toronto, Canada
According to our database1,
Nicolas Papernot
authored at least 134 papers
between 2014 and 2024.
Collaborative distances:
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Bibliography
2024
CoRR, 2024
Decentralised, Collaborative, and Privacy-preserving Machine Learning for Multi-Hospital Data.
CoRR, 2024
CoRR, 2024
2023
Proc. Priv. Enhancing Technol., July, 2023
Proc. Priv. Enhancing Technol., January, 2023
Proc. Priv. Enhancing Technol., January, 2023
CoRR, 2023
CoRR, 2023
Learning with Impartiality to Walk on the Pareto Frontier of Fairness, Privacy, and Utility.
CoRR, 2023
Proceedings of the 32nd USENIX Security Symposium, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Flocks of Stochastic Parrots: Differentially Private Prompt Learning for Large Language Models.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the 8th IEEE European Symposium on Security and Privacy, 2023
Reconstructing Individual Data Points in Federated Learning Hardened with Differential Privacy and Secure Aggregation.
Proceedings of the 8th IEEE European Symposium on Security and Privacy, 2023
Proceedings of the 8th IEEE European Symposium on Security and Privacy, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Proceedings of the 16th ACM Workshop on Artificial Intelligence and Security, 2023
2022
J. Comput. Secur., 2022
Fine-Tuning with Differential Privacy Necessitates an Additional Hyperparameter Search.
CoRR, 2022
In Differential Privacy, There is Truth: On Vote Leakage in Ensemble Private Learning.
CoRR, 2022
CoRR, 2022
p-DkNN: Out-of-Distribution Detection Through Statistical Testing of Deep Representations.
CoRR, 2022
Proceedings of the 31st USENIX Security Symposium, 2022
Proceedings of the 31st USENIX Security Symposium, 2022
Proceedings of the 43rd IEEE Symposium on Security and Privacy, 2022
In Differential Privacy, There is Truth: on Vote-Histogram Leakage in Ensemble Private Learning.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the International Conference on Machine Learning, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
Is Fairness Only Metric Deep? Evaluating and Addressing Subgroup Gaps in Deep Metric Learning.
Proceedings of the Tenth International Conference on Learning Representations, 2022
Proceedings of the 7th IEEE European Symposium on Security and Privacy, 2022
Proceedings of the 9th ACM Workshop on Moving Target Defense, 2022
2021
On the Exploitability of Audio Machine Learning Pipelines to Surreptitious Adversarial Examples.
CoRR, 2021
Proceedings of the 30th USENIX Security Symposium, 2021
Proceedings of the 42nd IEEE Symposium on Security and Privacy, 2021
Proceedings of the 42nd IEEE Symposium on Security and Privacy, 2021
Proceedings of the 42nd IEEE Symposium on Security and Privacy, 2021
SoK: The Faults in our ASRs: An Overview of Attacks against Automatic Speech Recognition and Speaker Identification Systems.
Proceedings of the 42nd IEEE Symposium on Security and Privacy, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the 36th IEEE/ACM International Conference on Automated Software Engineering, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
Proceedings of the 9th International Conference on Learning Representations, 2021
Proceedings of the 9th International Conference on Learning Representations, 2021
Proceedings of the FAccT '21: 2021 ACM Conference on Fairness, 2021
Proceedings of the IEEE European Symposium on Security and Privacy, 2021
Proceedings of the 51st Annual IEEE/IFIP International Conference on Dependable Systems and Networks Workshops, 2021
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
CoRR, 2020
CoRR, 2020
Proceedings of the 29th USENIX Security Symposium, 2020
Proceedings of the 2020 IEEE Security and Privacy Workshops, 2020
Fundamental Tradeoffs between Invariance and Sensitivity to Adversarial Perturbations.
Proceedings of the 37th International Conference on Machine Learning, 2020
Proceedings of the 8th International Conference on Learning Representations, 2020
Neighbors From Hell: Voltage Attacks Against Deep Learning Accelerators on Multi-Tenant FPGAs.
Proceedings of the International Conference on Field-Programmable Technology, 2020
Proceedings of the 50th Annual IEEE/IFIP International Conference on Dependable Systems and Networks Workshops, 2020
2019
Distribution Density, Tails, and Outliers in Machine Learning: Metrics and Applications.
CoRR, 2019
CoRR, 2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Proceedings of the 36th International Conference on Machine Learning, 2019
2018
CoRR, 2018
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Proceedings of the 6th International Conference on Learning Representations, 2018
Proceedings of the 6th International Conference on Learning Representations, 2018
Proceedings of the 2018 IEEE European Symposium on Security and Privacy, 2018
A Marauder's Map of Security and Privacy in Machine Learning: An overview of current and future research directions for making machine learning secure and private.
Proceedings of the 11th ACM Workshop on Artificial Intelligence and Security, 2018
Proceedings of the 2018 on Asia Conference on Computer and Communications Security, 2018
2017
On the Protection of Private Information in Machine Learning Systems: Two Recent Approaches.
CoRR, 2017
Proceedings of the 5th International Conference on Learning Representations, 2017
Proceedings of the 5th International Conference on Learning Representations, 2017
Proceedings of the Computer Security - ESORICS 2017, 2017
On the Protection of Private Information in Machine Learning Systems: Two Recent Approches.
Proceedings of the 30th IEEE Computer Security Foundations Symposium, 2017
Proceedings of the 2017 ACM on Asia Conference on Computer and Communications Security, 2017
2016
Practical Black-Box Attacks against Deep Learning Systems using Adversarial Examples.
CoRR, 2016
Transferability in Machine Learning: from Phenomena to Black-Box Attacks using Adversarial Samples.
CoRR, 2016
CoRR, 2016
Proceedings of the IEEE Symposium on Security and Privacy, 2016
Proceedings of the 2016 IEEE Military Communications Conference, 2016
Proceedings of the 2016 IEEE Military Communications Conference, 2016
Proceedings of the IEEE European Symposium on Security and Privacy, 2016
2015
Proceedings of the 34th IEEE Military Communications Conference, 2015
2014
Proceedings of the First ACM Workshop on Moving Target Defense, 2014