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20182023
most citedThe Curse of Recursion: Training on Generated Data Makes Models Forget

158 citations · 222 across the 12 of their papers we have counts for

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Showing 2020Show all

6 papers · 1 filter

cs.CR2020★ 1 cited

Hey Alexa what did I just type? Decoding smartphone sounds with a voice assistant

Almos Zarandy, Ilia Shumailov, Ross Anderson

Voice assistants are now ubiquitous and listen in on our everyday lives. Ever since they became commercially available, privacy advocates worried that the data they collect can be…

cs.CR2020★ 5 cited

Nudge Attacks on Point-Cloud DNNs

Yiren Zhao, Ilia Shumailov, Robert Mullins +1

The wide adaption of 3D point-cloud data in safety-critical applications such as autonomous driving makes adversarial samples a real threat. Existing adversarial attacks on point c…

cs.CR2020★ 1 cited

BatNet: Data transmission between smartphones over ultrasound

Almos Zarandy, Ilia Shumailov, Ross Anderson

In this paper, we present BatNet, a data transmission mechanism using ultrasound signals over the built-in speakers and microphones of smartphones. Using phase shift keying with an…

cs.CY2020

Snitches Get Stitches: On The Difficulty of Whistleblowing

Mansoor Ahmed-Rengers, Ross Anderson, Darija Halatova +1

One of the most critical security protocol problems for humans is when you are betraying a trust, perhaps for some higher purpose, and the world can turn against you if you're caug…

cs.LG2020

Sponge Examples: Energy-Latency Attacks on Neural Networks

Ilia Shumailov, Yiren Zhao, Daniel Bates +3

The high energy costs of neural network training and inference led to the use of acceleration hardware such as GPUs and TPUs. While this enabled us to train large-scale neural netw…

cs.LG2020

Towards Certifiable Adversarial Sample Detection

Ilia Shumailov, Yiren Zhao, Robert Mullins +1

Convolutional Neural Networks (CNNs) are deployed in more and more classification systems, but adversarial samples can be maliciously crafted to trick them, and are becoming a real…