Follow
Ilia Shumailov
Ilia Shumailov
JRF Christ Church, University of Oxford; PhD, University of Cambridge; Fellow, Vector Institute
Verified email at cl.cam.ac.uk - Homepage
Title
Cited by
Cited by
Year
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
372020
Hearing your touch: A new acoustic side channel on smartphones
I Shumailov, L Simon, J Yan, R Anderson
arXiv preprint arXiv:1903.11137, 2019
37*2019
Making Bitcoin Legal
R Anderson, I Shumailov, M Ahmed
International Workshop on Security Protocols (SPW 2018), 2018
37*2018
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
342018
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
322020
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
27*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
242019
Bitcoin Redux
R Anderson, I Shumailov, M Ahmed, A Rietmann
Workshop on the Economics of Information Security (WEIS 2018), 2018
242018
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
152021
The taboo trap: Behavioural detection of adversarial samples
I Shumailov, Y Zhao, R Mullins, R Anderson
arXiv preprint arXiv:1811.07375, 2018
152018
Bad Characters: Imperceptible NLP Attacks
N Boucher, I Shumailov, N Papernot, R Anderson
IEEE Symposium on Security and Privacy (S&P), 2022
132022
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
132020
When the Curious Abandon Honesty: Federated Learning Is Not Private
F Boenisch, A Dziedzic, R Schuster, AS Shamsabadi, I Shumailov, ...
arXiv preprint arXiv:2112.02918, 2021
11*2021
Not my deepfake: Towards plausible deniability for machine-generated media
B Zhang, JP Zhou, I Shumailov, N Papernot
arXiv preprint arXiv:2008.09194, 2020
11*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
102017
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), 2021
92021
Tendrils of Crime Visualizing the Diffusion of Stolen Bitcoins
M Ahmed, I Shumailov, R Anderson
The Fifth International Workshop on Graphical Models for Security (GramSec), 2018
92018
Sitatapatra: Blocking the transfer of adversarial samples
I Shumailov, X Gao, Y Zhao, R Mullins, R Anderson, CZ Xu
arXiv preprint arXiv:1901.08121, 2019
82019
Markpainting: Adversarial Machine Learning meets Inpainting
D Khachaturov, I Shumailov, Y Zhao, N Papernot, R Anderson
38th International Conference on Machine Learning (ICML), 2021
72021
Towards More Robust Keyword Spotting for Voice Assistants
S Ahmed, I Shumailov, N Papernot, K Fawaz
31st USENIX Security Symposium (USENIX Security 22), 2022
62022
The system can't perform the operation now. Try again later.
Articles 1–20