<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Robustness | Trustworthy AI Systems Lab (TAS Lab)</title><link>https://tas-lab.org/tag/robustness/</link><atom:link href="https://tas-lab.org/tag/robustness/index.xml" rel="self" type="application/rss+xml"/><description>Robustness</description><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Wed, 01 Jan 2025 00:00:00 +0000</lastBuildDate><image><url>https://tas-lab.org/media/icon_hu_9cf092d4d003c2c7.png</url><title>Robustness</title><link>https://tas-lab.org/tag/robustness/</link></image><item><title>Balancing Realism and Attack Efficacy: Adversarial Texture Generation From Authentic Clothing Patterns</title><link>https://tas-lab.org/publication/2025-balancing-realism-and-attack-efficacy-adversarial-texture-generation-from-authen/</link><pubDate>Wed, 01 Jan 2025 00:00:00 +0000</pubDate><guid>https://tas-lab.org/publication/2025-balancing-realism-and-attack-efficacy-adversarial-texture-generation-from-authen/</guid><description/></item><item><title>Band-Aid Backdoor: A Dual-Branch Framework for Physical Backdoor Attacks on Face Recognition Systems</title><link>https://tas-lab.org/publication/2025-band-aid-backdoor-a-dual-branch-framework-for-physical-backdoor-attacks-on-face/</link><pubDate>Wed, 01 Jan 2025 00:00:00 +0000</pubDate><guid>https://tas-lab.org/publication/2025-band-aid-backdoor-a-dual-branch-framework-for-physical-backdoor-attacks-on-face/</guid><description/></item><item><title>Pruning Backdoors via Inducive Trigger-Based Detection</title><link>https://tas-lab.org/publication/2025-pruning-backdoors-via-inducive-trigger-based-detection/</link><pubDate>Wed, 01 Jan 2025 00:00:00 +0000</pubDate><guid>https://tas-lab.org/publication/2025-pruning-backdoors-via-inducive-trigger-based-detection/</guid><description/></item><item><title>Multiple-Model Based Defense for Deep Reinforcement Learning Against Adversarial Attack</title><link>https://tas-lab.org/publication/2021-multiple-model-based-defense-for-deep-reinforcement-learning-against-adversarial/</link><pubDate>Fri, 01 Jan 2021 00:00:00 +0000</pubDate><guid>https://tas-lab.org/publication/2021-multiple-model-based-defense-for-deep-reinforcement-learning-against-adversarial/</guid><description/></item><item><title>Robustness analysis of classical and fuzzy decision trees under adversarial evasion attack</title><link>https://tas-lab.org/publication/2021-robustness-classical-fuzzy-decision-trees/</link><pubDate>Fri, 01 Jan 2021 00:00:00 +0000</pubDate><guid>https://tas-lab.org/publication/2021-robustness-classical-fuzzy-decision-trees/</guid><description/></item><item><title>Transfer learning based countermeasure against label flipping poisoning attack</title><link>https://tas-lab.org/publication/2021-transfer-learning-label-flipping-poisoning-attack/</link><pubDate>Fri, 01 Jan 2021 00:00:00 +0000</pubDate><guid>https://tas-lab.org/publication/2021-transfer-learning-label-flipping-poisoning-attack/</guid><description/></item><item><title>Sensitivity Based Robust Learning With Sampling In Adversarial Environment</title><link>https://tas-lab.org/publication/2020-sensitivity-based-robust-learning-with-sampling-in-adversarial-environment/</link><pubDate>Wed, 01 Jan 2020 00:00:00 +0000</pubDate><guid>https://tas-lab.org/publication/2020-sensitivity-based-robust-learning-with-sampling-in-adversarial-environment/</guid><description/></item><item><title>Improving robustness of stacked auto-encoder against evasion attack based on weight evenness</title><link>https://tas-lab.org/publication/2017-improving-robustness-of-stacked-auto-encoder-against-evasion-attack-based-on-wei/</link><pubDate>Sun, 01 Jan 2017 00:00:00 +0000</pubDate><guid>https://tas-lab.org/publication/2017-improving-robustness-of-stacked-auto-encoder-against-evasion-attack-based-on-wei/</guid><description/></item><item><title>Sensitivity based robust learning for stacked autoencoder against evasion attack</title><link>https://tas-lab.org/publication/2017-sensitivity-based-robust-learning-for-stacked-autoencoder-against-evasion-attack/</link><pubDate>Sun, 01 Jan 2017 00:00:00 +0000</pubDate><guid>https://tas-lab.org/publication/2017-sensitivity-based-robust-learning-for-stacked-autoencoder-against-evasion-attack/</guid><description/></item><item><title>Improving robustness against electrode shift of sEMG based hand gesture recognition using online semi-supervised learning</title><link>https://tas-lab.org/publication/2016-improving-robustness-against-electrode-shift-of-semg-based-hand-gesture-recognit/</link><pubDate>Fri, 01 Jan 2016 00:00:00 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