| Sponge Examples: Energy-Latency Attacks on Neural Networks I Shumailov, Y Zhao, D Bates, N Papernot, R Mullins, R Anderson 6th IEEE European Symposium on Security and Privacy (EuroS&P 2021), 2020 | 59 | 2020 |
| When the Curious Abandon Honesty: Federated Learning Is Not Private F Boenisch, A Dziedzic, R Schuster, AS Shamsabadi, I Shumailov, ... 8th IEEE European Symposium on Security and Privacy (EuroS&P 2023), 2021 | 58* | 2021 |
| To compress or not to compress: Understanding the Interactions between Adversarial Attacks and Neural Network Compression Y Zhao, I Shumailov, R Mullins, R Anderson Conference on Machine Learning and Systems (SysML 2018), 2018 | 46 | 2018 |
| Bad characters: Imperceptible NLP attacks N Boucher, I Shumailov, R Anderson, N Papernot 2022 IEEE Symposium on Security and Privacy (SP), 1987-2004, 2022 | 45 | 2022 |
| Turning Up the Dial: the Evolution of a Cybercrime Market Through Set-up, Stable, and Covid-19 Eras AV Vu, J Hughes, I Pete, B Collier, YT Chua, I Shumailov, A Hutchings ACM Internet Measurement Conference (IMC 2020), 551-566, 2020 | 42 | 2020 |
| Hearing your touch: A new acoustic side channel on smartphones I Shumailov, L Simon, J Yan, R Anderson arXiv preprint arXiv:1903.11137, 2019 | 40 | 2019 |
| Making Bitcoin Legal R Anderson, I Shumailov, M Ahmed International Workshop on Security Protocols (SPW 2018), 2018 | 39* | 2018 |
| Manipulating SGD with data ordering attacks I Shumailov, Z Shumaylov, D Kazhdan, Y Zhao, N Papernot, MA Erdogdu, ... 35th Conference on Neural Information Processing Systems (NeurIPS), 2021 | 38 | 2021 |
| Mapping the Underground: Supervised Discovery of Cybercrime Supply Chains R Bhalerao, M Aliapoulios, I Shumailov, S Afroz, D McCoy Symposium on Electronic Crime Research (eCrime 2019), 2019 | 34* | 2019 |
| Blackbox Attacks on Reinforcement Learning Agents Using Approximated Temporal Information Y Zhao, I Shumailov, H Cui, X Gao, R Mullins, R Anderson Dependable and Secure Machine Learning (DSML 2020), 2019 | 30 | 2019 |
| On the necessity of auditable algorithmic definitions for machine unlearning A Thudi, H Jia, I Shumailov, N Papernot 31st USENIX Security Symposium (USENIX Security 22), 4007-4022, 2022 | 29 | 2022 |
| Bitcoin Redux R Anderson, I Shumailov, M Ahmed, A Rietmann Workshop on the Economics of Information Security (WEIS 2018), 2018 | 26 | 2018 |
| Tendrils of crime: Visualizing the diffusion of stolen bitcoins M Ahmed, I Shumailov, R Anderson Graphical Models for Security: 5th International Workshop, GraMSec 2018 …, 2019 | 20 | 2019 |
| Not my deepfake: Towards plausible deniability for machine-generated media B Zhang, JP Zhou, I Shumailov, N Papernot arXiv preprint arXiv:2008.09194, 2020 | 17* | 2020 |
| The taboo trap: Behavioural detection of adversarial samples I Shumailov, Y Zhao, R Mullins, R Anderson arXiv preprint arXiv:1811.07375, 2018 | 17 | 2018 |
| Towards certifiable adversarial sample detection I Shumailov, Y Zhao, R Mullins, R Anderson 13th ACM Workshop on Artificial Intelligence and Security (AISec 2020), 13-24, 2020 | 15 | 2020 |
| Computational analysis of valence and arousal in virtual reality gaming using lower arm electromyograms I Shumailov, H Gunes 2017 Seventh International Conference on Affective Computing and Intelligent …, 2017 | 13 | 2017 |
| Towards More Robust Keyword Spotting for Voice Assistants S Ahmed, I Shumailov, N Papernot, K Fawaz 31st USENIX Security Symposium (USENIX Security 22), 2022 | 10 | 2022 |
| Bounding membership inference A Thudi, I Shumailov, F Boenisch, N Papernot arXiv preprint arXiv:2202.12232, 2022 | 9 | 2022 |
| Markpainting: Adversarial Machine Learning meets Inpainting D Khachaturov, I Shumailov, Y Zhao, N Papernot, R Anderson 38th International Conference on Machine Learning (ICML), 2021 | 8 | 2021 |
Ross AndersonUniversity of CambridgeVerified email at cl.cam.ac.uk
