Unveiling Hidden Visual Information: A Reconstruction Attack Against Adversarial Visual Information Hiding
Authors: Jonggyu Jang, Hyeonsu Lyu, Seongjin Hwang, Hyun Jong Yang | Published: 2024-08-08
透かし評価
Treatment of Statistical Estimation Problems in Randomized Smoothing for Adversarial Robustness
Authors: Vaclav Voracek | Published: 2024-06-25 | Updated: 2025-01-20
Can Go AIs be adversarially robust?
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Auditing Differential Privacy Guarantees Using Density Estimation
Authors: Antti Koskela, Jafar Mohammadi | Published: 2024-06-07 | Updated: 2024-10-11
Towards Certification of Uncertainty Calibration under Adversarial Attacks
Authors: Cornelius Emde, Francesco Pinto, Thomas Lukasiewicz, Philip H. S. Torr, Adel Bibi | Published: 2024-05-22
Naturally Private Recommendations with Determinantal Point Processes
Authors: Jack Fitzsimons, Agustín Freitas Pasqualini, Robert Pisarczyk, Dmitrii Usynin | Published: 2024-05-22
WaterPool: A Watermark Mitigating Trade-offs among Imperceptibility, Efficacy and Robustness
Authors: Baizhou Huang, Xiaojun Wan | Published: 2024-05-22
Fully Exploiting Every Real Sample: SuperPixel Sample Gradient Model Stealing
Authors: Yunlong Zhao, Xiaoheng Deng, Yijing Liu, Xinjun Pei, Jiazhi Xia, Wei Chen | Published: 2024-05-18
Towards Next-Generation Steganalysis: LLMs Unleash the Power of Detecting Steganography
Authors: Minhao Bai. Jinshuai Yang, Kaiyi Pang, Huili Wang, Yongfeng Huang | Published: 2024-05-15
Model Reconstruction Using Counterfactual Explanations: A Perspective From Polytope Theory
Authors: Pasan Dissanayake, Sanghamitra Dutta | Published: 2024-05-08 | Updated: 2024-11-05