“In his view, content social platforms are the biggest external variable for ToC enterprises—over 85% of Gen Z's consumer decisions are made here.”

“Each Pokemon is represented by a numerical vector: [HP, Attack, Defense, Special Attack, Special Defense, Speed].”

“From airports to secure facilities, drone incidents expose a security gap where AI detection alone falls short.”

“Varonis Threat Labs discovered a vulnerability in Copilot where a single click on a URL link could lead to the theft of various confidential data.”

“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.”

“A specific quote cannot be provided as the article's content is missing. This space is left blank.”

“As companies deploy AI-powered chatbots, agents, and copilots across their operations, they’re facing a new risk: how do you let employees and AI agents use powerful AI tools without accidentally leaking sensitive data, violating compliance rules, or opening the door to […]”

“The article's author, a product manager, noted that the vulnerability affects AI chat products generally and is essential knowledge.”

“Given the limited information, a direct quote is unavailable. This is an analysis of a news item. Therefore, this section will discuss the importance of monitoring AI's influence in the digital space.”

“French defense tech company Harmattan AI is now valued at $1.4 billion after raising a $200 million Series B round led by Dassault Aviation...”

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

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

“LLMを活用したコーディングが主流になりつつある中、コンテキスト長の制限が最大の課題となっている。”

“While security for text-based LLMs is an active area of research, existing solutions are often insufficient to address the unique threats for the embodied robotic agents, where malicious outputs manifest not merely as harmful text but as dangerous physical actions.”

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

“Exploratory results demonstrated that ConvNeXt-Tiny achieved the highest performance, attaining a 96.88% accuracy on the test”

“The LLM will seem fascinated and interested in you forever. It will never get bored. It will always find a new angle or interest to ask you about.”

“DoorDash seems to have confirmed a viral story about a driver using an AI-generated photo to lie about making a delivery.”

“The chatbot was vulnerable to prompt injection attacks, allowing access to internal system information and potentially customer data.”

“"There's no real discussion here, it's just a bunch of people coming in to insult others."”

“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.”

“Experimental AI-enabled FPV attack drones were disappointing in 2024, but the second generation are far more capable and are already reaping results.”

“The best solution approach for a practical path-based model reduces the IP gap by an average of 26.5% and 22.5% for the two largest instance groups, compared to solving the reformulation alone.”

“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.”

“Our method updates a small, targeted subset of parameters during inference using only the incoming utterance, requiring no source data or labels.”

“The article quotes Xue Guirong, the technical director of the scientific model overall team at Zhejiang Lab, who points out that LLMs are limited by the 'boundaries of language' and cannot truly understand high-dimensional, multi-type scientific data, nor can they independently complete verifiable scientific discoveries. The article also highlights the 'AI Manhattan Project' as a major initiative in the application of AI in science.”

“LSRE attains semantic risk detection accuracy comparable to a large VLM baseline, while providing substantially earlier hazard anticipation and maintaining low computational latency.”

“HeteroHBA consistently achieves higher attack success than prior backdoor baselines with comparable or smaller impact on clean accuracy.”

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

“Attacks are highly domain-dependent (airline support is most exploitable) and technique-dependent (payload splitting is most consistently effective).”

“SourceRank cannot be reliably used to discriminate between benign and malicious packages in real-world scenarios.”

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

“SeedProteo achieves state-of-the-art performance among open-source methods, attaining the highest in-silico design success rates, structural diversity and novelty.”

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

“The paper presents a class of QSLs formulated in terms of the two-parameter Sharma-Mittal entropy (SME), applicable to finite-dimensional systems evolving under general nonunitary dynamics.”

“Nearly all evaluated jailbreak techniques can be detected by at least one safety filter.”

“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.”

“Experimental results show that our unsupervised approach still attains 80% test accuracy, on par with several supervised deep learning-based strategies.”

“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's core contribution is "DivQAT, a novel algorithm to train quantized CNNs based on Quantization Aware Training (QAT) aiming to enhance their robustness against extraction attacks."”

“sCTs achieved 99% structural similarity and a Frechet inception distance of 1.01 relative to real CTs. Skull segmentation attained an average Dice coefficient of 85% across seven cranial bones, and sutures achieved 80% Dice.”

“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.”

“”

“This survey aims to classify recent power side-channel attacks and provide a comprehensive comparison based on application-specific considerations.”