Regularized Robustly Reliable Learners and Instance Targeted Attacks
Authors: Avrim Blum, Donya Saless | Published: 2024-10-14 | Updated: 2025-05-08
Robustness Evaluation
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
A provable initialization and robust clustering method for general mixture models
Authors: Soham Jana, Jianqing Fan, Sanjeev Kulkarni | Published: 2024-01-10 | Updated: 2024-10-23
Robustness, Efficiency, or Privacy: Pick Two in Machine Learning
Authors: Youssef Allouah, Rachid Guerraoui, John Stephan | Published: 2023-12-22 | Updated: 2024-03-11
Rethinking Randomized Smoothing from the Perspective of Scalability
Authors: Anupriya Kumari, Devansh Bhardwaj, Sukrit Jindal | Published: 2023-12-19 | Updated: 2024-10-24
Rethinking Robustness of Model Attributions
Authors: Sandesh Kamath, Sankalp Mittal, Amit Deshpande, Vineeth N Balasubramanian | Published: 2023-12-16