Hyperparameter Learning under Data Poisoning: Analysis of the Influence of Regularization via Multiobjective Bilevel Optimization

Authors: Javier Carnerero-Cano, Luis Muñoz-González, Phillippa Spencer, Emil C. Lupu | Published: 2023-06-02 | Updated: 2023-06-23
2023.06.02 2025.05.28
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PassGPT: Password Modeling and (Guided) Generation with Large Language Models

Authors: Javier Rando, Fernando Perez-Cruz, Briland Hitaj | Published: 2023-06-02 | Updated: 2023-06-14
2023.06.02 2025.05.28
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A Closer Look at the Adversarial Robustness of Deep Equilibrium Models

Authors: Zonghan Yang, Tianyu Pang, Yang Liu | Published: 2023-06-02
2023.06.02 2025.05.28
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Adaptive Attractors: A Defense Strategy against ML Adversarial Collusion Attacks

Authors: Jiyi Zhang, Han Fang, Ee-Chien Chang | Published: 2023-06-02
2023.06.02 2025.05.28
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FedCIP: Federated Client Intellectual Property Protection with Traitor Tracking

Authors: Junchuan Liang, Rong Wang | Published: 2023-06-02
2023.06.02 2025.05.28
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DeepfakeArt Challenge: A Benchmark Dataset for Generative AI Art Forgery and Data Poisoning Detection

Authors: Hossein Aboutalebi, Dayou Mao, Rongqi Fan, Carol Xu, Chris He, Alexander Wong | Published: 2023-06-02 | Updated: 2024-05-23
2023.06.02 2025.05.28
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Impact of using a privacy model on smart buildings data for CO2 prediction

Authors: Marlon P. da Silva, Henry C. Nunes, Charles V. Neu, Luana T. Thomas, Avelino F. Zorzo, Charles Morisset | Published: 2023-06-01
2023.06.01 2025.05.28
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Adversarial Robustness in Unsupervised Machine Learning: A Systematic Review

Authors: Mathias Lundteigen Mohus, Jinyue Li | Published: 2023-06-01
2023.06.01 2025.05.28
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Byzantine-Robust Clustered Federated Learning

Authors: Zhixu Tao, Kun Yang, Sanjeev R. Kulkarni | Published: 2023-06-01
2023.06.01 2025.05.28
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Constructing Semantics-Aware Adversarial Examples with a Probabilistic Perspective

Authors: Andi Zhang, Mingtian Zhang, Damon Wischik | Published: 2023-06-01 | Updated: 2024-11-24
2023.06.01 2025.05.28
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