A Closer Look at the Adversarial Robustness of Deep Equilibrium Models
Authors: Zonghan Yang, Tianyu Pang, Yang Liu | Published: 2023-06-02
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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
FedCIP: Federated Client Intellectual Property Protection with Traitor Tracking
Authors: Junchuan Liang, Rong Wang | Published: 2023-06-02
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
Interpreting GNN-based IDS Detections Using Provenance Graph Structural Features
Authors: Kunal Mukherjee, Joshua Wiedemeier, Tianhao Wang, Muhyun Kim, Feng Chen, Murat Kantarcioglu, Kangkook Jee | Published: 2023-06-01 | Updated: 2025-09-22
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
Adversarial Robustness in Unsupervised Machine Learning: A Systematic Review
Authors: Mathias Lundteigen Mohus, Jinyue Li | Published: 2023-06-01
Byzantine-Robust Clustered Federated Learning
Authors: Zhixu Tao, Kun Yang, Sanjeev R. Kulkarni | Published: 2023-06-01
Constructing Semantics-Aware Adversarial Examples with a Probabilistic Perspective
Authors: Andi Zhang, Mingtian Zhang, Damon Wischik | Published: 2023-06-01 | Updated: 2024-11-24
Adversarial-Aware Deep Learning System based on a Secondary Classical Machine Learning Verification Approach
Authors: Mohammed Alkhowaiter, Hisham Kholidy, Mnassar Alyami, Abdulmajeed Alghamdi, Cliff Zou | Published: 2023-06-01