rSDNet: Unified Robust Neural Learning against Label Noise and Adversarial Attacks
Authors: Suryasis Jana, Abhik Ghosh | Published: 2026-03-18
Robustness Evaluation
On damage of interpolation to adversarial robustness in regression
Authors: Jingfu Peng, Yuhong Yang | Published: 2026-01-22
Connect the Dots: Knowledge Graph-Guided Crawler Attack on Retrieval-Augmented Generation Systems
Authors: Mengyu Yao, Ziqi Zhang, Ning Luo, Shaofei Li, Yifeng Cai, Xiangqun Chen, Yao Guo, Ding Li | Published: 2026-01-22
Private Aggregation for Byzantine-Resilient Heterogeneous Federated Learning
Authors: Maximilian Egger, Rawad Bitar | Published: 2025-06-11
Regularized Robustly Reliable Learners and Instance Targeted Attacks
Authors: Avrim Blum, Donya Saless | Published: 2024-10-14 | Updated: 2025-05-08
Robustness-Congruent Adversarial Training for Secure Machine Learning Model Updates
Authors: Daniele Angioni, Luca Demetrio, Maura Pintor, Luca Oneto, Davide Anguita, Battista Biggio, Fabio Roli | Published: 2024-02-27 | Updated: 2025-05-29
Verifiable Boosted Tree Ensembles
Authors: Stefano Calzavara, Lorenzo Cazzaro, Claudio Lucchese, Giulio Ermanno Pibiri | Published: 2024-02-22
An Adversarial Approach to Evaluating the Robustness of Event Identification Models
Authors: Obai Bahwal, Oliver Kosut, Lalitha Sankar | Published: 2024-02-19 | Updated: 2024-04-22
Robust CLIP: Unsupervised Adversarial Fine-Tuning of Vision Embeddings for Robust Large Vision-Language Models
Authors: Christian Schlarmann, Naman Deep Singh, Francesco Croce, Matthias Hein | Published: 2024-02-19 | Updated: 2024-06-05
The Surprising Harmfulness of Benign Overfitting for Adversarial Robustness
Authors: Yifan Hao, Tong Zhang | Published: 2024-01-19 | Updated: 2024-01-25