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Analysis of Nonautonomous Adversarial Systems [PDF]
CoRR, 2018 5 ...
Arash Mehrjou
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RAILS: A Robust Adversarial Immune-Inspired Learning System
IEEE Access, 2022 Adversarial attacks against deep neural networks (DNNs) are continuously evolving, requiring increasingly powerful defense strategies. We develop a novel adversarial defense framework inspired by the adaptive immune system: the Robust Adversarial Immune ...
Ren Wang +6 more
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Big Data and Cognitive Computing, 2020 In this work, we propose a novel defense system against adversarial examples leveraging the unique power of Generative Adversarial Networks (GANs) to generate new adversarial examples for model retraining. To do so, we develop an automated pipeline using
Shayan Taheri +3 more
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Threats and vulnerabilities in artificial intelligence and agentic AI models [PDF]
Frontiers in Artificial IntelligenceIntroductionAdversarial robustness in artificial intelligence is commonly defined in terms of input-level perturbations applied to static models. This study reconceptualises adversarial vulnerability for artificial and agentic AI systems by extending the
Petar Radanliev +4 more
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The Principle of Adversarial System in Canon Law and Polish Law – Outline of the Issues [PDF]
Societas et IurisprudentiaThis paper attempts to describe the meaning and role of the adversarial system principle in the canon law against the background of the Polish law. The eponymous issue of the adversarial system was analysed using a comparative legal method, which makes ...
Maciej Andrzejewski
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Revista Brasileira de Direito Processual Penal, 2022 We know that science is a precious ally for the judge in the search for truth. But we also know that every coin has its flipside. Science can in fact constitute a false ally for the judge, dangerously channeling the process towards judicial error.
Pier Paolo Paulesu
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Adversary Aware Surveillance Systems [PDF]
IEEE Transactions on Information Forensics and Security, 2009 We consider surveillance problems to be a set of system-adversary interaction problems in which an adversary can be modeled as a rational (selfish) agent trying to maximize his utility. We feel that appropriate adversary modeling can provide deep insights into the system performance and also clues for optimizing the system's performance against the ...
Vivek K. Singh 0001 +1 more
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Adversarial attacks and defenses in deep learning
网络与信息安全学报, 2020 The adversarial example is a modified image that is added imperceptible perturbations, which can make deep neural networks decide wrongly. The adversarial examples seriously threaten the availability of the system and bring great security risks to the ...
LIU Ximeng +2 more
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Double adversarial attack against license plate recognition system
网络与信息安全学报, 2023 Recent studies have revealed that deep neural networks (DNN) used in artificial intelligence systems are highly vulnerable to adversarial sample-based attacks.To address this issue, a dual adversarial attack method was proposed for license plate ...
Xianyi CHEN, Jun GU1, Kai YAN, Dong JIANG, Linfeng XU, Zhangjie FU
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THE ADVERSARIAL SYSTEM AND THE BEST INTERESTS OF THE CHILD IN DIVORCE LITIGATION: SOME THOUGHTS REGARDING COLLABORATIVE LAW AS A MEANS TO RESOLVE PARENTAL DISPUTES [PDF]
Potchefstroom Electronic Law Journal, 2016 In this contribution it is argued that the adversarial system of litigation does not serve the best interests of children upon divorce. After a brief analysis of the system it is concluded that other less aggressive means of litigation should be ...
JA Robinson
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