Jamie Hayes
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
15
Venues
9
Active years
2018–2026
Best venue rank
A*
Where they publish
Papers
15 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | NDSS | To Shuffle or not to Shuffle: Auditing DP-SGD with Shuffling. | Meenatchi Sundaram Muthu Selva Annamalai, Borja Balle, Jamie Hayes, Emiliano De Cristofaro |
| 2025 | CCS | Cascading Adversarial Bias from Injection to Distillation in Language Models. | Harsh Chaudhari, Jamie Hayes, Matthew Jagielski, Ilia Shumailov, Milad Nasr, Alina Oprea |
| 2025 | ICLR | Measuring memorization in RLHF for code completion. | Jamie Hayes, Ilia Shumailov, William P. Porter, Aneesh Pappu |
| 2025 | ICLR | The Last Iterate Advantage: Empirical Auditing and Principled Heuristic Analysis of Differentially Private SGD. | Milad Nasr, Thomas Steinke, Borja Balle, Christopher A. Choquette-Choo, Arun Ganesh, Matthew Jagielski, Jamie Hayes, Abhradeep Guha Thakurta, Adam Smith, Andreas Terzis |
| 2025 | ICML | Interpreting the Repeated Token Phenomenon in Large Language Models. | Itay Yona, Ilia Shumailov, Jamie Hayes, Yossi Gandelsman |
| 2025 | NAACL | Measuring memorization in language models via probabilistic extraction. | Jamie Hayes, Marika Swanberg, Harsh Chaudhari, Itay Yona, Ilia Shumailov, Milad Nasr, Christopher A. Choquette-Choo, Katherine Lee, A. Feder Cooper |
| 2024 | ICML | Beyond the Calibration Point: Mechanism Comparison in Differential Privacy. | Georgios Kaissis, Stefan Kolek, Borja Balle, Jamie Hayes, Daniel Rueckert |
| 2023 | DSN | Adaptive Webpage Fingerprinting from TLS Traces. | Vasilios Mavroudis, Jamie Hayes |
| 2023 | UAI | Mnemonist: Locating Model Parameters that Memorize Training Examples. | Ali Shahin Shamsabadi, Jamie Hayes, Borja Balle, Adrian Weller |
| 2022 | NDSS | Local and Central Differential Privacy for Robustness and Privacy in Federated Learning. | Mohammad Naseri, Jamie Hayes, Emiliano De Cristofaro |
| 2022 | SP | Reconstructing Training Data with Informed Adversaries. | Borja Balle, Giovanni Cherubin, Jamie Hayes |
| 2020 | CVPR | Extensions and limitations of randomized smoothing for robustness guarantees. | Jamie Hayes |
| 2020 | ICLR | A Framework for robustness Certification of Smoothed Classifiers using F-Divergences. | Krishnamurthy (Dj) Dvijotham, Jamie Hayes, Borja Balle, J. Zico Kolter, Chongli Qin, Andrs Gyrgy, Kai Xiao, Sven Gowal, Pushmeet Kohli |
| 2018 | CVPR | On Visible Adversarial Perturbations & Digital Watermarking. | Jamie Hayes |
| 2018 | SP | Learning Universal Adversarial Perturbations with Generative Models. | Jamie Hayes, George Danezis |