“A small number of samples can poison LLMs of any size.”

“By selectively flipping a fraction of samples from...”

“This paper introduces an Information-Obfuscation Reversible Adversarial Example (IO-RAE) framework, the pioneering method designed to safeguard audio privacy using reversible adversarial examples.”

“In this tutorial, we build an advanced red-team evaluation harness using Strands Agents to stress-test a tool-using AI system against prompt-injection and tool-misuse attacks.”

“RCS traces acceptance probability to tolerate extreme adversarial behaviors, improving robustness. RCS also eliminates the need for abstention entirely.”

“The proposed method successfully created adversarial examples that lead to depth misestimations, resulting in parts of objects disappearing from the target scene.”

“CPR achieves an F1 score of 0.632 under SAP attacks, surpassing Median Smoothing (0.541 F1) by 9.1%.”

“The paper states that RAGPart and RAGMask consistently reduce attack success rates while preserving utility under benign conditions.”

“The framework incorporates a Salient Region Selection module and a Jacobian Vector Product Guidance mechanism to generate physically plausible adversarial objects.”

“Out-of-distribution prompts can manipulate the routing strategy such that all tokens are consistently routed to the same set of top-$k$ experts, which creates computational bottlenecks.”

“Even minor prompt modifications, such as the substitution or insertion of a single word, can cause substantial degradation in semantic fidelity and temporal dynamics, highlighting critical vulnerabilities in current T2V diffusion models.”

“The paper demonstrates consistently high attack success rates with minimal perceptual distortion, revealing a critical and previously underexplored attack surface at the encoder level of multimodal systems.”

“Error detection capability strongly predicts overall robustness (rho=-0.817, p=0.007), indicating this is the critical bottleneck.”

“The results show that attention-based adversarial examples lead to measurable drops in evaluation performance while remaining semantically similar to the original inputs.”

“The paper establishes upper bounds on the suboptimality gap in both offline and online settings for private and robust alignment.”

“Prompt injection induces substantial changes in review scores and accept/reject decisions for English, Japanese, and Chinese injections, while Arabic injections produce little to no effect.”

“RobustMask successfully certifies over 20% of candidate documents within the top-10 ranking positions against adversarial perturbations affecting up to 30% of their content.”

“Agents are susceptible to prompt injection in 25% of tasks on average (13% for GPT-5 to 43% for DeepSeek-R1).”

“Dark patterns successfully steer agent trajectories towards malicious outcomes in over 70% of tested generated and real-world tasks.”

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“The experimental results further reveal that the robustness of current SNNs has been significantly overestimated and highlighting the need for more dependable adversarial training methods.”

“Results demonstrate how learned attack policies disrupt load balancing and induce voltage instabilities that propagate across T and D boundaries.”

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“By concentrating adversarial perturbations on these positions, we achieve semantic degradation comparable to global methods while using substantially smaller budgets. More importantly, across multiple representative VLMs, such selective attacks convert 35-49% of benign outputs into harmful ones, exposing a more critical safety risk.”

“The research focuses on LLM-driven feature-level adversarial attacks.”

“The article likely discusses adversarial attacks and obfuscation techniques.”

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“PHANTOM achieves over 90\% attack success rate under optimal conditions and maintains 60-80\% effectiveness even in degraded environments.”

“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.”

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“The paper focuses on adversarial attacks against RF-based drone detectors.”

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“The article uses resume screening as a case study for analyzing adversarial vulnerabilities.”

“The paper likely explores the application of GNNs to model the complex relationships within IoT networks and the use of adversarial defense techniques to improve the robustness of the malware detection system.”

“The paper focuses on multi-layer confidence scoring for identifying out-of-distribution samples, adversarial attacks, and in-distribution misclassifications.”

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

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“The research focuses on jailbreaking LLMs via human-like psychological manipulation.”

“The article's content is based on the ArXiv source, which suggests a research paper. Specific quotes would depend on the paper's findings, but likely include details on attack methods, robustness metrics, and proposed defenses.”

“The research is published on ArXiv.”

“The article is based on a research paper, so a direct quote isn't available without further information. The core concept revolves around 'Self-Purifying Flow Matching' for robust TTS training.”

“The research focuses on auditing soft prompt attacks against ESM-based variant predictors.”

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

“The research focuses on coordinated anti-jamming resilience in swarm networks.”

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