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Robustness

529 directly classified papers

Papers per year

Papers

Enhancing Adversarial Transferability with Adversarial Weight Tuning AAAI 2025
Data-Free Hard-Label Robustness Stealing Attack AAAI 2024
Towards the Robustness of Differentially Private Federated Learning AAAI 2024
A Dual Stealthy Backdoor: From Both Spatial and Frequency Perspectives AAAI 2024
Solving Non-rectangular Reward-Robust MDPs via Frequency Regularization AAAI 2024
Taxonomy Driven Fast Adversarial Training AAAI 2024
Defog Artificial Intelligence Glasses: Neural Networks for the Imperfect Real World AAAI 2024
Gradient-Guided Modality Decoupling for Missing-Modality Robustness AAAI 2024
Accelerating Adversarially Robust Model Selection for Deep Neural Networks via Racing AAAI 2024
Data-Driven Discovery of Design Specifications (Student Abstract) AAAI 2024
Attacking CNNs in Histopathology with SNAP: Sporadic and Naturalistic Adversarial Patches (Student Abstract) AAAI 2024
Mitigating robust overfitting via self-residual-calibration regularization (Abstract Reprint) IJCAI 2024
Coevolutionary Algorithm for Building Robust Decision Trees under Minimax Regret AAAI 2024
Fostering Trustworthiness in Machine Learning Algorithms AAAI 2024
Towards Multiple References Era – Addressing Data Leakage and Limited Reference Diversity in Machine Translation Evaluation ACL 2024
UMA: Facilitating Backdoor Scanning via Unlearning-Based Model Ablation AAAI 2024
URGENT Challenge: Universality, Robustness, and Generalizability For Speech Enhancement INTERSPEECH 2024
Towards Trustworthy Deep Learning AAAI 2024
Learning from Others: Similarity-based Regularization for Mitigating Dataset Bias. ACL 2024
MaxEnt Loss: Constrained Maximum Entropy for Calibration under Out-of-Distribution Shift AAAI 2024
Toward More Generalized Malicious URL Detection Models AAAI 2024
A Huber Loss Minimization Approach to Byzantine Robust Federated Learning AAAI 2024
A Survey of Learning Criteria Going beyond the Usual Risk (Abstract Reprint) AAAI 2024
Distantly-Supervised Joint Extraction with Noise-Robust Learning ACL 2024
Exploiting Positional Bias for Query-Agnostic Generative Content in Search ACL 2024