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07/21/2023
Unveiling Vulnerabilities in Interpretable Deep Learning Systems with Query-Efficient Black-box Attacks
Deep learning has been rapidly employed in many applications revolutioni...
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07/13/2023
Microbial Genetic Algorithm-based Black-box Attack against Interpretable Deep Learning Systems
Deep learning models are susceptible to adversarial samples in white and...
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07/12/2023
Single-Class Target-Specific Attack against Interpretable Deep Learning Systems
In this paper, we present a novel Single-class target-specific Adversari...
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04/26/2023
SHIELD: Thwarting Code Authorship Attribution
Authorship attribution has become increasingly accurate, posing a seriou...
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11/29/2022
Interpretations Cannot Be Trusted: Stealthy and Effective Adversarial Perturbations against Interpretable Deep Learning
Deep learning methods have gained increased attention in various applica...
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03/03/2021
Hate, Obscenity, and Insults: Measuring the Exposure of Children to Inappropriate Comments in YouTube
Social media has become an essential part of the daily routines of child...
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05/14/2020
A Deep Learning-based Fine-grained Hierarchical Learning Approach for Robust Malware Classification
The wide acceptance of Internet of Things (IoT) for both household and i...
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05/14/2020
Deep Learning-based Fine-grained Hierarchical Learning Approach for Robust Malware Classification
The wide acceptance of Internet of Things (IoT) for both household and i...
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01/23/2020
Sensor-based Continuous Authentication of Smartphones' Users Using Behavioral Biometrics: A Survey
Mobile devices and technologies have become increasingly popular, offeri...
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10/02/2019
