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Ilia Shumailov
Ilia Shumailov
Google DeepMind
Verified email at google.com - Homepage
Title
Cited by
Cited by
Year
The Curse of Recursion: Training on Generated Data Makes Models Forget
I Shumailov, Z Shumaylov, Y Zhao, Y Gal, N Papernot, R Anderson
https://arxiv.org/abs/2305.17493, 2023
151*2023
When the curious abandon honesty: Federated learning is not private
F Boenisch, A Dziedzic, R Schuster, AS Shamsabadi, I Shumailov, ...
2023 IEEE 8th European Symposium on Security and Privacy (EuroS&P), 175-199, 2023
130*2023
Bad characters: Imperceptible NLP attacks
N Boucher, I Shumailov, R Anderson, N Papernot
2022 IEEE Symposium on Security and Privacy (SP), 1987-2004, 2022
1062022
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
1002020
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
822022
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
712021
Hearing your touch: A new acoustic side channel on smartphones
I Shumailov, L Simon, J Yan, R Anderson
arXiv preprint arXiv:1903.11137, 2019
582019
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
562020
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
482018
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
45*2019
Making Bitcoin Legal
R Anderson, I Shumailov, M Ahmed
International Workshop on Security Protocols (SPW 2018), 2018
43*2018
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
362019
Bitcoin Redux
R Anderson, I Shumailov, M Ahmed, A Rietmann
Workshop on the Economics of Information Security (WEIS 2018), 2018
302018
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
282019
On the Limitations of Stochastic Pre-processing Defenses
Y Gao, I Shumailov, K Fawaz, N Papernot
36th Conference on Neural Information Processing Systems (NeurIPS), 2022
212022
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
212017
Towards More Robust Keyword Spotting for Voice Assistants
S Ahmed, I Shumailov, N Papernot, K Fawaz
31st USENIX Security Symposium (USENIX Security 22), 2022
192022
Not my deepfake: Towards plausible deniability for machine-generated media
B Zhang, JP Zhou, I Shumailov, N Papernot
arXiv preprint arXiv:2008.09194, 2020
19*2020
LLM censorship: A machine learning challenge or a computer security problem?
D Glukhov, I Shumailov, Y Gal, N Papernot, V Papyan
arXiv preprint arXiv:2307.10719, 2023
18*2023
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
172020
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Articles 1–20