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Robustness
529 directly classified papers
Papers per year
2006: 1
2010: 2
2011: 1
2012: 3
2013: 4
2014: 6
2015: 6
2016: 4
2017: 6
2018: 11
2019: 34
2020: 59
2021: 61
2022: 105
2023: 78
2024: 97
2025: 51
Papers
COMMIT: Certifying Robustness of Multi-Sensor Fusion Systems Against Semantic Attacks
AAAI 2025
TripleFact: Defending Data Contamination in the Evaluation of LLM-driven Fake News Detection
ACL 2025
Adversarial-Inspired Backdoor Defense via Bridging Backdoor and Adversarial Attacks
AAAI 2025
Designing Ambiguity Sets for Distributionally Robust Optimization Using Structural Causal Optimal Transport
AAAI 2025
Single Character Perturbations Break LLM Alignment
AAAI 2025
SafeRAG: Benchmarking Security in Retrieval-Augmented Generation of Large Language Model
ACL 2025
Enhancing Adversarial Transferability with Adversarial Weight Tuning
AAAI 2025
Optimized Gradient Clipping for Noisy Label Learning
AAAI 2025
Mesh Watermark Removal Attack and Mitigation: A Novel Perspective of Function Space
AAAI 2025
Active Fourier Auditor for Estimating Distributional Properties of ML Models
AAAI 2025
Noise-Resilient Symbolic Regression with Dynamic Gating Reinforcement Learning
AAAI 2025
Mitigating Hallucinations in Large Vision-Language Models by Adaptively Constraining Information Flow
AAAI 2025
Evaluation of LLM Vulnerabilities to Being Misused for Personalized Disinformation Generation
ACL 2025
Iron Sharpens Iron: Defending Against Attacks in Machine-Generated Text Detection with Adversarial Training
ACL 2025
Defense Against Model Stealing Based on Account-Aware Distribution Discrepancy
AAAI 2025
Towards Better Robustness Against Natural Corruptions in Document Tampering Localization
AAAI 2025
Does Training on Synthetic Data Make Models Less Robust?
NAACL 2025
Towards Adversarially Robust Dataset Distillation by Curvature Regularization
AAAI 2025
RoDA: Robust Domain Alignment for Cross-Domain Retrieval Against Label Noise
AAAI 2025
Common Sense Bias Modeling for Classification Tasks
AAAI 2025
Hyperparametric Robust and Dynamic Influence Maximization
AAAI 2025
Revisiting Graph Contrastive Learning on Anomaly Detection: A Structural Imbalance Perspective
AAAI 2025
SAP: Corrective Machine Unlearning with Scaled Activation Projection for Label Noise Robustness
AAAI 2025
A Layer Selection Approach to Test Time Adaptation
AAAI 2025
Towards Context-Robust LLMs: A Gated Representation Fine-tuning Approach
ACL 2025
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