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06/27/2023
Your Attack Is Too DUMB: Formalizing Attacker Scenarios for Adversarial Transferability
Evasion attacks are a threat to machine learning models, where adversari...
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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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03/31/2023
Social Honeypot for Humans: Luring People through Self-managed Instagram Pages
Social Honeypots are tools deployed in Online Social Networks (OSN) to a...
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11/06/2022
Going In Style: Audio Backdoors Through Stylistic Transformations
A backdoor attack places triggers in victims' deep learning models to en...
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09/22/2022
You Can't Hide Behind Your Headset: User Profiling in Augmented and Virtual Reality
Virtual and Augmented Reality (VR, AR) are increasingly gaining traction...
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08/22/2022
SoK: Explainable Machine Learning for Computer Security Applications
Explainable Artificial Intelligence (XAI) is a promising solution to imp...
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03/09/2022
The Cross-evaluation of Machine Learning-based Network Intrusion Detection Systems
Enhancing Network Intrusion Detection Systems (NIDS) with supervised Mac...
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01/11/2022
Captcha Attack: Turning Captchas Against Humanity
Nowadays, people generate and share massive content on online platforms ...
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04/13/2021
Fall of Giants: How popular text-based MLaaS fall against a simple evasion attack
The increased demand for machine learning applications made companies of...
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08/28/2018