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06/24/2023
Machine Learning needs its own Randomness Standard: Randomised Smoothing and PRNG-based attacks
Randomness supports many critical functions in the field of machine lear...
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06/12/2023
When Vision Fails: Text Attacks Against ViT and OCR
While text-based machine learning models that operate on visual inputs o...
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05/27/2023
The Curse of Recursion: Training on Generated Data Makes Models Forget
Stable Diffusion revolutionised image creation from descriptive text. GP...
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05/08/2023
If it's Provably Secure, It Probably Isn't: Why Learning from Proof Failure is Hard
In this paper we're going to explore the ways in which security proofs c...
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04/27/2023
Boosting Big Brother: Attacking Search Engines with Encodings
Search engines are vulnerable to attacks against indexing and searching ...
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04/14/2023
No Easy Way Out: The Effectiveness of Deplatforming an Extremist Forum to Suppress Hate and Harassment
Legislators and policymakers worldwide are debating options for suppress...
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03/24/2023
One Protocol to Rule Them All? On Securing Interoperable Messaging
European lawmakers have ruled that users on different platforms should b...
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01/13/2023
Threat Models over Space and Time: A Case Study of E2EE Messaging Applications
Threat modelling is foundational to secure systems engineering and shoul...
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10/11/2022
Chat Control or Child Protection?
Ian Levy and Crispin Robinson's position paper "Thoughts on child safety...
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09/30/2022
ImpNet: Imperceptible and blackbox-undetectable backdoors in compiled neural networks
Early backdoor attacks against machine learning set off an arms race in ...
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09/22/2022
Talking Trojan: Analyzing an Industry-Wide Disclosure
While vulnerability research often focuses on technical findings and pos...
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08/22/2022
Getting Bored of Cyberwar: Exploring the Role of the Cybercrime Underground in the Russia-Ukraine Conflict
There has been substantial commentary on the role of cyberattacks, hackt...
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01/21/2022
Attack of the Clones: Measuring the Maintainability, Originality and Security of Bitcoin 'Forks' in the Wild
Since Bitcoin appeared in 2009, over 6,000 different cryptocurrency proj...
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11/08/2021
ExtremeBB: Enabling Large-Scale Research into Extremism, the Manosphere and Their Correlation by Online Forum Data
Online extremism is a growing and pernicious problem, and increasingly l...
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10/30/2021
Trojan Source: Invisible Vulnerabilities
We present a new type of attack in which source code is maliciously enco...
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10/14/2021
Bugs in our Pockets: The Risks of Client-Side Scanning
Our increasing reliance on digital technology for personal, economic, an...
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06/18/2021
Bad Characters: Imperceptible NLP Attacks
Several years of research have shown that machine-learning systems are v...
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06/01/2021
Markpainting: Adversarial Machine Learning meets Inpainting
Inpainting is a learned interpolation technique that is based on generat...
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04/19/2021
Manipulating SGD with Data Ordering Attacks
Machine learning is vulnerable to a wide variety of different attacks. I...
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12/01/2020
Hey Alexa what did I just type? Decoding smartphone sounds with a voice assistant
Voice assistants are now ubiquitous and listen in on our everyday lives....
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11/22/2020
Nudge Attacks on Point-Cloud DNNs
The wide adaption of 3D point-cloud data in safety-critical applications...
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10/22/2020
Reinforcement Learning with Combinatorial Actions: An Application to Vehicle Routing
Value-function-based methods have long played an important role in reinf...
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08/01/2020
BatNet: Data transmission between smartphones over ultrasound
In this paper, we present BatNet, a data transmission mechanism using ul...
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06/25/2020
Snitches Get Stitches: On The Difficulty of Whistleblowing
One of the most critical security protocol problems for humans is when y...
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06/24/2020
The Convex Relaxation Barrier, Revisited: Tightened Single-Neuron Relaxations for Neural Network Verification
We improve the effectiveness of propagation- and linear-optimization-bas...
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06/05/2020
Sponge Examples: Energy-Latency Attacks on Neural Networks
The high energy costs of neural network training and inference led to th...
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02/20/2020
Towards Certifiable Adversarial Sample Detection
Convolutional Neural Networks (CNNs) are deployed in more and more class...
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11/19/2019
The gift of the gab: Are rental scammers skilled at the art of persuasion?
Rental scams are a type of advance fee fraud, in which the scammer tries...
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09/26/2019
CAQL: Continuous Action Q-Learning
Value-based reinforcement learning (RL) methods like Q-learning have sho...
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09/06/2019
Blackbox Attacks on Reinforcement Learning Agents Using Approximated Temporal Information
Recent research on reinforcement learning has shown that trained agents ...
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03/26/2019
Hearing your touch: A new acoustic side channel on smartphones
We present the first acoustic side-channel attack that recovers what use...
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01/23/2019
Sitatapatra: Blocking the Transfer of Adversarial Samples
Convolutional Neural Networks (CNNs) are widely used to solve classifica...
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01/07/2019
Tendrils of Crime: Visualizing the Diffusion of Stolen Bitcoins
The first six months of 2018 have seen cryptocurrency thefts of 761 mill...
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11/20/2018
Strong mixed-integer programming formulations for trained neural networks
We present an ideal mixed-integer programming (MIP) formulation for a re...
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11/18/2018
The Taboo Trap: Behavioural Detection of Adversarial Samples
Deep Neural Networks (DNNs) have become a powerful tool for a wide range...
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09/29/2018
