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01/29/2023
Gradient Shaping: Enhancing Backdoor Attack Against Reverse Engineering
Most existing methods to detect backdoored machine learning (ML) models ...
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12/09/2022
Selective Amnesia: On Efficient, High-Fidelity and Blind Suppression of Backdoor Effects in Trojaned Machine Learning Models
In this paper, we present a simple yet surprisingly effective technique ...
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10/12/2022
Understanding Impacts of Task Similarity on Backdoor Attack and Detection
With extensive studies on backdoor attack and detection, still fundament...
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09/14/2022
Order-Disorder: Imitation Adversarial Attacks for Black-box Neural Ranking Models
Neural text ranking models have witnessed significant advancement and ar...
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08/31/2019
Your Smart Home Can't Keep a Secret: Towards Automated Fingerprinting of IoT Traffic with Neural Networks
The IoT (Internet of Things) technology has been widely adopted in recen...
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08/02/2019
Demon in the Variant: Statistical Analysis of DNNs for Robust Backdoor Contamination Detection
A security threat to deep neural networks (DNN) is backdoor contaminatio...
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03/13/2018
Invisible Mask: Practical Attacks on Face Recognition with Infrared
Accurate face recognition techniques make a series of critical applicati...
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02/13/2018
Query-Free Attacks on Industry-Grade Face Recognition Systems under Resource Constraints
To attack a deep neural network (DNN) based Face Recognition (FR) system...
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01/06/2018
