Jamie Hayes

Ilia Shumailov

Itay Yona

CoRR, 2024

2023

Unlocking Accuracy and Fairness in Differentially Private Image Classification.

[BibT_eX]

[DOI]

CoRR, 2023

Bounding data reconstruction attacks with the hypothesis testing interpretation of differential privacy.

[BibT_eX]

[DOI]

CoRR, 2023

Differentially Private Diffusion Models Generate Useful Synthetic Images.

[BibT_eX]

[DOI]

CoRR, 2023

Tight Auditing of Differentially Private Machine Learning.

[BibT_eX]

[DOI]

Proceedings of the 32nd USENIX Security Symposium, 2023

Extracting Training Data from Diffusion Models.

[BibT_eX]

[DOI]

Proceedings of the 32nd USENIX Security Symposium, 2023

Mnemonist: Locating Model Parameters that Memorize Training Examples.

[BibT_eX]

[DOI]

Ali Shahin Shamsabadi

Adrian Weller

Proceedings of the Uncertainty in Artificial Intelligence, 2023

Towards Unbounded Machine Unlearning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Bounding training data reconstruction in DP-SGD.

[BibT_eX]

[DOI]

Saeed Mahloujifar

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Adaptive Webpage Fingerprinting from TLS Traces.

[BibT_eX]

[DOI]

Vasilios Mavroudis

Proceedings of the 53rd Annual IEEE/IFIP International Conference on Dependable Systems and Network, 2023

2022

Unlocking High-Accuracy Differentially Private Image Classification through Scale.

[BibT_eX]

[DOI]

CoRR, 2022

Learning to be adversarially robust and differentially private.

[BibT_eX]

[DOI]

M. Pawan Kumar

CoRR, 2022

Reconstructing Training Data with Informed Adversaries.

[BibT_eX]

[DOI]

Giovanni Cherubin

Proceedings of the 43rd IEEE Symposium on Security and Privacy, 2022

Local and Central Differential Privacy for Robustness and Privacy in Federated Learning.

[BibT_eX]

[DOI]

Mohammad Naseri

Proceedings of the 29th Annual Network and Distributed System Security Symposium, 2022

2020

Towards transformation-resilient provenance detection of digital media.

[BibT_eX]

[DOI]

Krishnamurthy Dvijotham

CoRR, 2020

Adaptive Traffic Fingerprinting: Large-scale Inference under Realistic Assumptions.

[BibT_eX]

[DOI]

Vasilios Mavroudis

CoRR, 2020

Toward Robustness and Privacy in Federated Learning: Experimenting with Local and Central Differential Privacy.

[BibT_eX]

[DOI]

Mohammad Naseri

CoRR, 2020

Provable trade-offs between private & robust machine learning.

[BibT_eX]

[DOI]

CoRR, 2020

Unique properties of adversarially trained linear classifiers on Gaussian data.

[BibT_eX]

[DOI]

Krishnamurthy (Dj) Dvijotham

CoRR, 2020

A Framework for robustness Certification of Smoothed Classifiers using F-Divergences.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Learning Representations, 2020

Extensions and limitations of randomized smoothing for robustness guarantees.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

LOGAN: Membership Inference Attacks Against Generative Models.

[BibT_eX]

[DOI]

Luca Melis

Proc. Priv. Enhancing Technol., 2019

2018

A note on hyperparameters in black-box adversarial examples.

[BibT_eX]

[DOI]

CoRR, 2018

Evading classifiers in discrete domains with provable optimality guarantees.

[BibT_eX]

[DOI]

CoRR, 2018

Learning Universal Adversarial Perturbations with Generative Models.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Security and Privacy Workshops, 2018

Contamination Attacks and Mitigation in Multi-Party Machine Learning.

[BibT_eX]

[DOI]

Olga Ohrimenko

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

On Visible Adversarial Perturbations & Digital Watermarking.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018

2017

Website Fingerprinting Defenses at the Application Layer.

[BibT_eX]

[DOI]

Giovanni Cherubin

Marc Juarez

Proc. Priv. Enhancing Technol., 2017

Machine Learning as an Adversarial Service: Learning Black-Box Adversarial Examples.

[BibT_eX]

[DOI]

CoRR, 2017

LOGAN: Evaluating Privacy Leakage of Generative Models Using Generative Adversarial Networks.

[BibT_eX]

[DOI]

Luca Melis

CoRR, 2017

ste-GAN-ography: Generating Steganographic Images via Adversarial Training.

[BibT_eX]

[DOI]

CoRR, 2017

AnNotify: A Private Notification Service.

[BibT_eX]

[DOI]

Proceedings of the 2017 on Workshop on Privacy in the Electronic Society, Dallas, TX, USA, October 30, 2017

The Loopix Anonymity System.

[BibT_eX]

[DOI]

Proceedings of the 26th USENIX Security Symposium, 2017

Generating steganographic images via adversarial training.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

2016

AnoNotify: A Private Notification Service.

[BibT_eX]

[DOI]

IACR Cryptol. ePrint Arch., 2016

Traffic Confirmation Attacks Despite Noise.

[BibT_eX]

[DOI]

CoRR, 2016

TASP: Towards Anonymity Sets that Persist.

[BibT_eX]

[DOI]

Carmela Troncoso

Proceedings of the 2016 ACM on Workshop on Privacy in the Electronic Society, 2016

k-fingerprinting: A Robust Scalable Website Fingerprinting Technique.

[BibT_eX]

[DOI]

Proceedings of the 25th USENIX Security Symposium, 2016

2015

Guard Sets for Onion Routing.

[BibT_eX]

[DOI]

Proc. Priv. Enhancing Technol., 2015

Better open-world website fingerprinting.

[BibT_eX]

[DOI]