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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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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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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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Sensors, 2023 Deep learning technology has developed rapidly in recent years and has been successfully applied in many fields, including face recognition. Face recognition is used in many scenarios nowadays, including security control systems, access control ...
Ren-Hung Hwang +4 more
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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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An Integrated and Robust Vision System for Internal and External Thread Defect Detection with Adversarial Defense. [PDF]
Sensors (Basel)Fu L, Li L, Zhang G, Jiang Z.
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Black-Box Audio Adversarial Attack Using Particle Swarm Optimization
IEEE Access, 2022 The development of artificial neural networks and artificial intelligence has helped to address problems and improve services in various fields, such as autonomous driving, image classification, medical diagnosis, and speech recognition.
Hyunjun Mun +3 more
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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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Entropy, 2023 There exist various attack strategies in continuous-variable quantum key distribution (CVQKD) system in practice. Due to the powerful information processing ability of neural networks, they are applied to the detection and classification of attack ...
Shimiao Li +5 more
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GANBA: Generative Adversarial Network for Biometric Anti-Spoofing
Applied Sciences, 2022 Automatic speaker verification (ASV) is a voice biometric technology whose security might be compromised by spoofing attacks. To increase the robustness against spoofing attacks, presentation attack detection (PAD) or anti-spoofing systems for detecting ...
Alejandro Gomez-Alanis +2 more
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