Jamie Hayes

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 52

Top Topics

Differentially Private

Diffusion Models

Top Venues

USENIX Security Symposium

Proc. Priv. Enhancing Technol.

Publications

Jamie Hayes, Ilia Shumailov, Eleni Triantafillou, Amr Khalifa, Nicolas Papernot
Inexact Unlearning Needs More Careful Evaluations to Avoid a False Sense of Privacy. CoRR (2024)
Georgios Kaissis, Stefan Kolek, Borja Balle, Jamie Hayes, Daniel Rueckert
Beyond the Calibration Point: Mechanism Comparison in Differential Privacy. CoRR (2024)
Eleanor Clifford, Adhithya Saravanan, Harry Langford, Cheng Zhang, Yiren Zhao, Robert D. Mullins, Ilia Shumailov, Jamie Hayes
Locking Machine Learning Models into Hardware. CoRR (2024)
Eleni Triantafillou, Peter Kairouz, Fabian Pedregosa, Jamie Hayes, Meghdad Kurmanji, Kairan Zhao, Vincent Dumoulin, Júlio C. S. Jacques Júnior, Ioannis Mitliagkas, Jun Wan, Lisheng Sun-Hosoya, Sergio Escalera, Gintare Karolina Dziugaite, Peter Triantafillou, Isabelle Guyon
Are we making progress in unlearning? Findings from the first NeurIPS unlearning competition. CoRR (2024)
Ilia Shumailov, Jamie Hayes, Eleni Triantafillou, Guillermo Ortiz-Jiménez, Nicolas Papernot, Matthew Jagielski, Itay Yona, Heidi Howard, Eugene Bagdasaryan
UnUnlearning: Unlearning is not sufficient for content regulation in advanced generative AI. CoRR (2024)
Hanna Foerster, Robert D. Mullins, Ilia Shumailov, Jamie Hayes
Beyond Slow Signs in High-fidelity Model Extraction. CoRR (2024)
Aneesh Pappu, Billy Porter, Ilia Shumailov, Jamie Hayes
Measuring memorization in RLHF for code completion. CoRR (2024)
Jamie Hayes, Ilia Shumailov, Itay Yona
Buffer Overflow in Mixture of Experts. CoRR (2024)
Leonard Berrada, Soham De, Judy Hanwen Shen, Jamie Hayes, Robert Stanforth, David Stutz, Pushmeet Kohli, Samuel L. Smith, Borja Balle
Unlocking Accuracy and Fairness in Differentially Private Image Classification. CoRR (2023)
Sahra Ghalebikesabi, Leonard Berrada, Sven Gowal, Ira Ktena, Robert Stanforth, Jamie Hayes, Soham De, Samuel L. Smith, Olivia Wiles, Borja Balle
Differentially Private Diffusion Models Generate Useful Synthetic Images. CoRR (2023)
Jamie Hayes, Borja Balle, Saeed Mahloujifar
Bounding training data reconstruction in DP-SGD. NeurIPS (2023)
Nicholas Carlini, Jamie Hayes, Milad Nasr, Matthew Jagielski, Vikash Sehwag, Florian Tramèr, Borja Balle, Daphne Ippolito, Eric Wallace
Extracting Training Data from Diffusion Models. USENIX Security Symposium (2023)
Milad Nasr, Jamie Hayes, Thomas Steinke, Borja Balle, Florian Tramèr, Matthew Jagielski, Nicholas Carlini, Andreas Terzis
Tight Auditing of Differentially Private Machine Learning. CoRR (2023)
Jamie Hayes, Saeed Mahloujifar, Borja Balle
Bounding Training Data Reconstruction in DP-SGD. CoRR (2023)
Ali Shahin Shamsabadi, Jamie Hayes, Borja Balle, Adrian Weller
Mnemonist: Locating Model Parameters that Memorize Training Examples. UAI (2023)
Nicholas Carlini, Jamie Hayes, Milad Nasr, Matthew Jagielski, Vikash Sehwag, Florian Tramèr, Borja Balle, Daphne Ippolito, Eric Wallace
Extracting Training Data from Diffusion Models. CoRR (2023)
Milad Nasr, Jamie Hayes, Thomas Steinke, Borja Balle, Florian Tramèr, Matthew Jagielski, Nicholas Carlini, Andreas Terzis
Tight Auditing of Differentially Private Machine Learning. USENIX Security Symposium (2023)
Vasilios Mavroudis, Jamie Hayes
Adaptive Webpage Fingerprinting from TLS Traces. DSN (2023)
Georgios Kaissis, Jamie Hayes, Alexander Ziller, Daniel Rueckert
Bounding data reconstruction attacks with the hypothesis testing interpretation of differential privacy. CoRR (2023)
Meghdad Kurmanji, Peter Triantafillou, Jamie Hayes, Eleni Triantafillou
Towards Unbounded Machine Unlearning. NeurIPS (2023)
Borja Balle, Giovanni Cherubin, Jamie Hayes
Reconstructing Training Data with Informed Adversaries. IEEE Symposium on Security and Privacy (2022)
Soham De, Leonard Berrada, Jamie Hayes, Samuel L. Smith, Borja Balle
Unlocking High-Accuracy Differentially Private Image Classification through Scale. CoRR (2022)
Jamie Hayes, Borja Balle, M. Pawan Kumar
Learning to be adversarially robust and differentially private. CoRR (2022)
Mohammad Naseri, Jamie Hayes, Emiliano De Cristofaro
Local and Central Differential Privacy for Robustness and Privacy in Federated Learning. NDSS (2022)
Borja Balle, Giovanni Cherubin, Jamie Hayes
Reconstructing Training Data with Informed Adversaries. CoRR (2022)
Jamie Hayes
Unique properties of adversarially trained linear classifiers on Gaussian data. CoRR (2020)
Vasilios Mavroudis, Jamie Hayes
Adaptive Traffic Fingerprinting: Large-scale Inference under Realistic Assumptions. CoRR (2020)
Jamie Hayes
Extensions and limitations of randomized smoothing for robustness guarantees. CVPR Workshops (2020)
Jamie Hayes
Extensions and limitations of randomized smoothing for robustness guarantees. CoRR (2020)
Mohammad Naseri, Jamie Hayes, Emiliano De Cristofaro
Toward Robustness and Privacy in Federated Learning: Experimenting with Local and Central Differential Privacy. CoRR (2020)
Jamie Hayes, Krishnamurthy Dvijotham, Yutian Chen, Sander Dieleman, Pushmeet Kohli, Norman Casagrande
Towards transformation-resilient provenance detection of digital media. CoRR (2020)
Krishnamurthy (Dj) Dvijotham, Jamie Hayes, Borja Balle, J. Zico Kolter, Chongli Qin, András György, Kai Xiao, Sven Gowal, Pushmeet Kohli
A Framework for robustness Certification of Smoothed Classifiers using F-Divergences. ICLR (2020)
Jamie Hayes
Provable trade-offs between private & robust machine learning. CoRR (2020)
Jamie Hayes, Olga Ohrimenko
Contamination Attacks and Mitigation in Multi-Party Machine Learning. CoRR (2019)
Jamie Hayes, Luca Melis, George Danezis, Emiliano De Cristofaro
LOGAN: Membership Inference Attacks Against Generative Models. Proc. Priv. Enhancing Technol. 2019 (1) (2019)
Jamie Hayes
On Visible Adversarial Perturbations & Digital Watermarking. CVPR Workshops (2018)
Bogdan Kulynych, Jamie Hayes, Nikita Samarin, Carmela Troncoso
Evading classifiers in discrete domains with provable optimality guarantees. CoRR (2018)
Jamie Hayes, Olga Ohrimenko
Contamination Attacks and Mitigation in Multi-Party Machine Learning. NeurIPS (2018)
Jamie Hayes, George Danezis
Learning Universal Adversarial Perturbations with Generative Models. IEEE Symposium on Security and Privacy Workshops (2018)
Jamie Hayes
A note on hyperparameters in black-box adversarial examples. CoRR (2018)
Jamie Hayes, George Danezis
ste-GAN-ography: Generating Steganographic Images via Adversarial Training. CoRR (2017)
Jamie Hayes, George Danezis
Machine Learning as an Adversarial Service: Learning Black-Box Adversarial Examples. CoRR (2017)
Ania M. Piotrowska, Jamie Hayes, Tariq Elahi, Sebastian Meiser, George Danezis
The Loopix Anonymity System. CoRR (2017)
Giovanni Cherubin, Jamie Hayes, Marc Juárez
Website Fingerprinting Defenses at the Application Layer. Proc. Priv. Enhancing Technol. 2017 (2) (2017)
Jamie Hayes, Luca Melis, George Danezis, Emiliano De Cristofaro
LOGAN: Evaluating Privacy Leakage of Generative Models Using Generative Adversarial Networks. CoRR (2017)
Ania M. Piotrowska, Jamie Hayes, Tariq Elahi, Sebastian Meiser, George Danezis
The Loopix Anonymity System. USENIX Security Symposium (2017)
Ania M. Piotrowska, Jamie Hayes, Nethanel Gelernter, George Danezis, Amir Herzberg
AnNotify: A Private Notification Service. WPES@CCS (2017)
Jamie Hayes, George Danezis
Generating steganographic images via adversarial training. NIPS (2017)
Jamie Hayes
Traffic Confirmation Attacks Despite Noise. CoRR (2016)
Jamie Hayes, George Danezis
k-fingerprinting: A Robust Scalable Website Fingerprinting Technique. USENIX Security Symposium (2016)
Ania M. Piotrowska, Jamie Hayes, Nethanel Gelernter, George Danezis, Amir Herzberg
AnoNotify: A Private Notification Service. IACR Cryptol. ePrint Arch. 2016 (2016)
Jamie Hayes, Carmela Troncoso, George Danezis
TASP: Towards Anonymity Sets that Persist. WPES@CCS (2016)
Jamie Hayes, George Danezis
Better open-world website fingerprinting. CoRR (2015)
Jamie Hayes, George Danezis
Guard Sets for Onion Routing. Proc. Priv. Enhancing Technol. 2015 (2) (2015)