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08/12/2023
Copilot Security: A User Study
Code generation tools driven by artificial intelligence have recently be...
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12/04/2021
SHAPr: An Efficient and Versatile Membership Privacy Risk Metric for Machine Learning
Data used to train machine learning (ML) models can be sensitive. Member...
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06/16/2021
Real-time Attacks Against Deep Reinforcement Learning Policies
Recent work has discovered that deep reinforcement learning (DRL) polici...
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05/31/2019
Effective writing style imitation via combinatorial paraphrasing
Stylometry can be used to profile authors based on their written text. T...
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02/25/2019
EAT2seq: A generic framework for controlled sentence transformation without task-specific training
We present EAT2seq: a novel method to architect automatic linguistic tra...
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11/22/2018
PAC it up: Towards Pointer Integrity using ARM Pointer Authentication
Run-time attacks against programs written in memory-unsafe programming l...
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05/07/2018
PRADA: Protecting against DNN Model Stealing Attacks
As machine learning (ML) applications become increasingly prevalent, pro...
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03/20/2018
