robustness

"We introduce TorchLean, a framework in the Lean 4 theorem prover that treats learned models as first-class mathematical objects with a single, precise semantics shared by execution and verification."

"Our approach successfully mitigates robustness issues of foundation models for computational pathology without retraining the foundation models themselves, enabling development of robust computational pathology models applicable to real-world data in routine clinical practice."

"Extensive experiments demonstrate that AOT enhances the Defender's perceptual robustness and reduces hallucinations, establishing a scalable paradigm for training more reliable MLLMs."

"Building systems that are not just functional but capable of handling failures and managing state reliably is the key to moving from prototype to production."

"Experiments across molecular, graph and image classification benchmarks show that MSTH consistently improves accuracy, eliminates catastrophic failures and enhances recovery from perturbations."

"We formulate formal robustness verification of neural networks as an algebraic optimization problem."

"In this work, we provide the first proof that MultiKrum is a robust aggregation rule, and bound its robustness coefficient."

"We empirically demonstrate that by combining parameter-efficient pre-trained models with large language models, we can improve the reliability and robustness of models, making them more suitable for real-world cybersecurity applications."

"Interpolating estimators must be suboptimal even under a subtle future $X$-attack, and achieving perfect fitting can substantially damage their robustness."

"Scale AI Tackles Real Speech: Exposing and Addressing Vulnerabilities in AI Systems"

"By guiding LLMs with case-augmented reasoning instead of extensive code-like safety rules, we avoid rigid adherence to narrowly enumerated rules and enable broader adaptability."

"The context provides minimal information beyond the title and source, so a key fact is unavailable from the text provided."

"Analyzing and Enhancing Robustness of Medical Multi-Modal Large Language Models"

"The context mentions the source of the article is ArXiv."

"The context is from ArXiv, indicating a pre-print scientific paper."

"The research introduces a structure-aware data augmentation technique."

"The paper focuses on time-efficient evaluation and enhancement."

"The article's context indicates it's a research paper from ArXiv, implying a focus on novel findings."

"AprielGuard: A Guardrail for Safety and Adversarial Robustness in Modern LLM Systems"

"The research originates from ArXiv, suggesting a pre-peer-reviewed or preprint publication."

"The paper focuses on scaling online distributionally robust reinforcement learning."

"The study focuses on vulnerabilities at the class and concept levels."

"The paper focuses on Distributionally Robust Multi-Agent Reinforcement Learning (DR-MARL)."

"The research focuses on explainable Transformer-CNN fusion."

"The paper likely focuses on the 'Propose, Solve, Verify' paradigm."

"The paper focuses on Distributionally Robust Imitation Learning."

"The research is sourced from ArXiv."

"The research is published on ArXiv."

"An open-source testbed is provided for evaluating adversarial robustness."

"The paper focuses on robust subspace recovery."