Triple Down on Robustness: Understanding the Impact of Adversarial Triplet Compositions on Adversarial Robustness by Sander Joos, Tim Van hamme, Willem Verheyen, Davy Preuveneers, Wouter Joosen

Subjects: “…adversarial robustness…”
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Exploring Synergy of Denoising and Distillation: Novel Method for Efficient Adversarial Defense by Inpyo Hong, Sokjoon Lee

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Adversarial attacks dataset for low light image enhancementMendeley Data by Axel Martinez, Matthieu Olague, Gustavo Olague, Emilio Hernandez, Julio Cesar Lopez-Arredondo

Subjects: “…Adversarial robustness…”
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Toward Enhanced Adversarial Robustness Generalization in Object Detection: Feature Disentangled Domain Adaptation for Adversarial Training by Yoojin Jung, Byung Cheol Song

Subjects: “…Adversarial robustness…”
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Improving classifier decision boundaries and interpretability using nearest neighbors by Johannes Schneider, Arianna Casanova

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Increasing the Robustness of Image Quality Assessment Models Through Adversarial Training by Anna Chistyakova, Anastasia Antsiferova, Maksim Khrebtov, Sergey Lavrushkin, Konstantin Arkhipenko, Dmitriy Vatolin, Denis Turdakov

Subjects: “…adversarial robustness…”
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Evaluating Adversarial Robustness of No-Reference Image and Video Quality Assessment Models with Frequency-Masked Gradient Orthogonalization Adversarial Attack by Khaled Abud, Sergey Lavrushkin, Dmitry Vatolin

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Salient object detection dataset with adversarial attacks for genetic programming and neural networksMendeley Data by Matthieu Olague, Gustavo Olague, Roberto Pineda, Gerardo Ibarra-Vazquez

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Bit flipping-based error correcting output code construction for adversarial robustness of neural networks by Wooram Jang, Woojin Hwang, Kezhong Jin, Hosung Park

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Explainability-driven adversarial robustness assessment for generalized deepfake detectors by Lorenzo Cirillo, Andrea Gervasio, Irene Amerini

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Multifractal Carbon Market Price Forecasting with Memory-Guided Adversarial Network by Na Li, Mingzhu Tang, Jingwen Deng, Liran Wei, Xinpeng Zhou

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Adversarial Hierarchical-Aware Edge Attention Learning Method for Network Intrusion Detection by Hao Yan, Jianming Li, Lei Du, Binxing Fang, Yan Jia, Zhaoquan Gu

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Robust AI for Financial Fraud Detection in the GCC: A Hybrid Framework for Imbalance, Drift, and Adversarial Threats by Khaleel Ibrahim Al-Daoud, Ibrahim A. Abu-AlSondos

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From Accuracy to Vulnerability: Quantifying the Impact of Adversarial Perturbations on Healthcare AI Models by Sarfraz Brohi, Qurat-ul-ain Mastoi

Subjects: “…adversarial robustness…”
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On Adversarial Robust Generalization of DNNs for Remote Sensing Image Classification by Wei Xue, Yonghao Wang, Shaoquan Zhang, Xiao Zheng, Ping Zhong

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GenCoder++: A Protocol-Aware and Adversarially Robust Adaptive Intrusion Detection Framework for Hybrid CAN-Ethernet Vehicular Networks by Mikhail Smolin

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How to beat a Bayesian adversary by Zihan Ding, Kexin Jin, Jonas Latz, Chenguang Liu

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