Ilia Shumailov

Ilia Shumailov

University of Cambridge

H-index: 17

Europe-United Kingdom

About Ilia Shumailov

Ilia Shumailov, With an exceptional h-index of 17 and a recent h-index of 17 (since 2020), a distinguished researcher at University of Cambridge, specializes in the field of Computer Security, Adversarial Machine Learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Fairness Feedback Loops: Training on Synthetic Data Amplifies Bias

Inexact unlearning needs more careful evaluations to avoid a false sense of privacy

Architectural Neural Backdoors from First Principles

Buffer Overflow in Mixture of Experts

Beyond Laplace and Gaussian: Exploring the Generalized Gaussian Mechanism for Private Machine Learning

LLM Censorship: The Problem and its Limitations

Revisiting block-based quantisation: What is important for sub-8-bit LLM inference?

Beyond Labeling Oracles: What does it mean to steal ML models?

Ilia Shumailov Information

University

Position

PhD candidate

Citations(all)

1048

Citations(since 2020)

1033

Cited By

157

hIndex(all)

17

hIndex(since 2020)

17

i10Index(all)

23

i10Index(since 2020)

23

Email

University Profile Page

Google Scholar

Ilia Shumailov Skills & Research Interests

Computer Security

Adversarial Machine Learning

Top articles of Ilia Shumailov

Fairness Feedback Loops: Training on Synthetic Data Amplifies Bias

arXiv preprint arXiv:2403.07857

2024/3/12

Ilia Shumailov
Ilia Shumailov

H-Index: 7

Nicolas Papernot
Nicolas Papernot

H-Index: 32

Inexact unlearning needs more careful evaluations to avoid a false sense of privacy

arXiv preprint arXiv:2403.01218

2024/3/2

Architectural Neural Backdoors from First Principles

arXiv preprint arXiv:2402.06957

2024/2/10

Buffer Overflow in Mixture of Experts

arXiv preprint arXiv:2402.05526

2024/2/8

Jamie Hayes
Jamie Hayes

H-Index: 11

Ilia Shumailov
Ilia Shumailov

H-Index: 7

Beyond Laplace and Gaussian: Exploring the Generalized Gaussian Mechanism for Private Machine Learning

2023/10/13

LLM Censorship: The Problem and its Limitations

2023/10/13

Revisiting block-based quantisation: What is important for sub-8-bit LLM inference?

arXiv preprint arXiv:2310.05079

2023/10/8

Beyond Labeling Oracles: What does it mean to steal ML models?

arXiv preprint arXiv:2310.01959

2023/10/3

Human-Producible Adversarial Examples

arXiv preprint arXiv:2310.00438

2023/9/30

SEA: Shareable and Explainable Attribution for Query-based Black-box Attacks

arXiv preprint arXiv:2308.11845

2023/8/23

When the curious abandon honesty: Federated learning is not private

2023/7/3

Reconstructing Individual Data Points in Federated Learning Hardened with Differential Privacy and Secure Aggregation

2023/7/3

Gradients Look Alike: Sensitivity is Often Overestimated in DP-SGD

arXiv preprint arXiv:2307.00310

2023/7/1

When Vision Fails: Text Attacks Against ViT and OCR

arXiv preprint arXiv:2306.07033

2023/6/12

The Curse of Recursion: Training on Generated Data Makes Models Forget

arXiv preprint arXiv:2305.17493

2023/5/27

Boosting Big Brother: Attacking Search Engines with Encodings

2023/10/16

Revisiting Automated Prompting: Are We Actually Doing Better?

arXiv preprint arXiv:2304.03609

2023/4/7

Architectural backdoors in neural networks

2023

Tubes Among Us: Analog Attack on Automatic Speaker Identification

2023

Rethinking Image-Scaling Attacks: The Interplay Between Vulnerabilities in Machine Learning Systems

2022/6/28

See List of Professors in Ilia Shumailov University(University of Cambridge)

Co-Authors

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