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

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

“"Claude is genuinely impressive, but the gap between 'looks right' and 'actually right' is bigger than I expected."”

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

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

“Claude seems to favor calm, cooperative energy over adversarial prompts, even though I know this is really about prompt framing and cooperative context.”

“FlakeStorm takes a "golden prompt" (known good input) and generates semantic mutations across 8 categories: Paraphrase, Noise, Tone Shift, Prompt Injection.”

“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.”

“BEDA consistently outperforms strong baselines: on CKBG it improves success rate by at least 5.0 points across backbones and by 20.6 points with GPT-4.1-nano; on Mutual Friends it achieves an average improvement of 9.3 points; and on CaSiNo it achieves the optimal deal relative to all baselines.”

“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%.”

“ADS drives decoder success rates to near zero with minimal perceptual impact.”

“The paper's key finding is the effectiveness of the proposed framework in reducing semantic leakage to eavesdroppers without significantly degrading performance for legitimate receivers, especially through the use of adversarial perturbations.”

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

“The proposed model achieves 95.5% and 98.5% accuracy for 4-class and 2-class imbalanced classification problems, respectively.”

“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.”

“The paper argues that 'stochastic generative models can be fragile in operational domains unless paired with mechanisms that provide verifiable feasibility, robustness to distribution shift, and stress testing under high-consequence scenarios.'”

“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.”

“The paper proposes a novel Generative Adversarial Network (GAN) framework, which incorporates 3D pose generators, a 2D pose discriminator, and a 3D pose estimator.”

“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.”

“The paper details the application of these paradigms across the digital chip design flow, including the construction of agentic cognitive architectures based on multimodal foundation models, frontend RTL code generation and intelligent verification, and backend physical design featuring algorithmic innovations and tool orchestration.”

“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.”

“The paper establishes tight distribution-dependent and -independent bounds for binary classification and extends these bounds to multi-class classification, including adversarial scenarios.”

“We are currently focused on building simulation engines for observing behavior in multi agent scenarios.”

“We are currently focused on building simulation engines for observing behavior in multi agent scenarios.”

“"It kept generating em dashes in loop until i pressed the stop button"”

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“The paper's strength lies in its systematic approach to fault detection and its potential to improve compiler reliability.”

“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.”

“Our 8B-parameter model achieves a Macro F1 of 0.845, outperforming GPT-4o (0.812) by 3.3% while using 20 times fewer parameters.”

“The paper proposes qGAN-QAOA, a unified quantum-circuit workflow in which a pre-trained quantum generative adversarial network encodes the scenario distribution and QAOA optimizes first-stage decisions by minimizing the full two-stage objective, including expected recourse cost.”

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

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“The ALEAHallu framework follows an 'Activate-Locate-Edit Adversarially' paradigm, fine-tuning hallucination-prone parameter clusters using adversarial tuned prefixes to maximize visual neglect.”

“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.”

“COCONUT consistently exploits dataset artifacts, inflating benchmark performance without true reasoning.”

“The paper demonstrates the ability to produce diverse handwritten outputs from input plain text.”

“DT-GAN consistently recovers underlying structure and exhibits stable behavior under identical optimization budgets where a standard GAN degrades.”

“The research focuses on the development of a 'Cluster Aggregated GAN (CAG)' model.”

“adversarial training further enhances diversity, distributional alignment, and predictive validity.”

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

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