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Unpacking Why Adversarial Attacks Transfer Across Large Language Models

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AI Models That Understand Their Own Ignorance: A New Era of Trustworthy Machine Learning

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Unveiling Softmax’s True Stability: A New 1/2-Lipschitz Bound Across All Norms

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Generating Effective Adversarial Examples from Natural Language Instructions

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Improving Data Forgetting in Graph Models Through Influence and Preference

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Unmasking a Hidden Threat: How LLM Memory Caches Can Be Corrupted

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Unmasking ‘Reasoning Distraction’: A New Threat to AI Reliability

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Code LLMs Struggle with Grammar: A Deep Dive into Tokenization Drift

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Medical AI’s Hidden Weakness: Multi-Turn Conversations Expose Deep Vulnerabilities

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Challenging the Flat Minima Dogma: Why Sharper Solutions Can Lead to Better AI Performance

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ASCII Art-Based Attacks Challenge LLM Safety

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LLM Safety Alert: Reduced Response Diversity Makes AI Reasoning Unsafe

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The Hidden Impact of a Single Character on LLM Performance and Evaluation

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Rainbow Padding: A Simple Solution to Early Termination in Diffusion LLMs

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Unmasking Hidden Biases in Breast MRI AI: Introducing the SpurBreast Dataset

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Evaluating Text-to-Image Model Robustness with Logically Equivalent Prompts

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Unpacking AI’s Inner Workings: Why Stability Matters in Mechanistic Interpretability

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Assessing LLM Reliability in Tabular Feature Engineering: A Multi-level Approach

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GraphUniverse: A New Framework for Evaluating Graph Model Generalization

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Beyond Size: How AI’s Thinking Process Shapes Persuasion in Multi-Agent Systems

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VisMoDAl: A Visual Analytics Framework for Enhancing Vision-Language Model Robustness

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Measuring the Mood: How Emotions and Personalities Affect Code LLM Stability

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The Case for Deliberate AI: Enhancing LLM Judging with Explicit Reasoning

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Unpacking AMULET: A New Library for Understanding Machine Learning Defenses and Risks

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Targeted Forgetting: A New Method to Safely Unlearn Harmful Knowledge in AI Models

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Securing Large Language Models: A New Fingerprinting Method Using Conversational Context

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Optimizing Speech AI: A Deep Dive into Discrete Unit Representations

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New Method Boosts Transferable Adversarial Attacks for Remote Sensing AI

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New Evaluation Reveals AI’s Sensitivity to How You Ask Database Questions

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Mapping Training Data to Enhance Generative AI Safety

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