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
透かし評価
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
ModelShield: Adaptive and Robust Watermark against Model Extraction Attack
Authors: Kaiyi Pang, Tao Qi, Chuhan Wu, Minhao Bai, Minghu Jiang, Yongfeng Huang | Published: 2024-05-03 | Updated: 2025-01-12
Why You Should Not Trust Interpretations in Machine Learning: Adversarial Attacks on Partial Dependence Plots
Authors: Xi Xin, Giles Hooker, Fei Huang | Published: 2024-04-29 | Updated: 2024-05-01
Attacking Bayes: On the Adversarial Robustness of Bayesian Neural Networks
Authors: Yunzhen Feng, Tim G. J. Rudner, Nikolaos Tsilivis, Julia Kempe | Published: 2024-04-27
An Analysis of Recent Advances in Deepfake Image Detection in an Evolving Threat Landscape
Authors: Sifat Muhammad Abdullah, Aravind Cheruvu, Shravya Kanchi, Taejoong Chung, Peng Gao, Murtuza Jadliwala, Bimal Viswanath | Published: 2024-04-24