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◬ AI & Machine Learning Aug 14, 2026
Tracing Provenance and Detecting Tampering with Complementary LLM Watermarks

arXiv:2608.12713v1 Announce Type: new Abstract: Watermarking LLM-generated text is an important task for tracing its provenance. Existing LLM watermarks preserve provenance under editing, but this sam…

arXiv Security Read →
◬ AI & Machine Learning Aug 14, 2026
SoK: From Generation to Consumption of Privacy Documents in Software Systems

arXiv:2608.12511v1 Announce Type: new Abstract: Privacy documents (e.g., privacy policies) are a central mechanism through which digital services disclose data practices and seek user consent. Over th…

arXiv Security Read →
◬ AI & Machine Learning Aug 14, 2026
Non-Degenerate Risk Certification for Automated Security Decisions: A Decision-Contract Theory with ATT\&CK-Aligned Triage as a Worked Instance

arXiv:2608.12444v1 Announce Type: new Abstract: An unconditional risk bound on automated decisions can be satisfied without automating anything, since a selector that never acts drives the bound to ze…

arXiv Security Read →
◬ AI & Machine Learning Aug 14, 2026
The energetic cost of mitigating AI attacks in cellular networks

arXiv:2608.12431v1 Announce Type: new Abstract: The integration of Artificial Intelligence (AI), generally as Machine Learning (ML) algorithms, in all levels and aspects of cellular networks demonstra…

arXiv Security Read →
◬ AI & Machine Learning Aug 14, 2026
DCBA: Detection of Collaborative Black-Hole Attacks in Connected Dominated Set using Baiting Process

arXiv:2608.12347v1 Announce Type: new Abstract: Mobile Ad-hoc Network (MANET) is temporary and dynamic network topology, wherein nodes are mobile in nature and distributed randomly in a network area. …

arXiv Security Read →
◬ AI & Machine Learning Aug 13, 2026
Detecting a Route Flip Is Easier Than Knowing Whether to Fix It: Causal Route-Mediated Damage in Quantized Mixture-of-Experts

arXiv:2608.11212v1 Announce Type: new Abstract: Top-k Mixture-of-Experts (MoE) routing is discontinuous, so a deployment-motivated numerical disturbance -- simulated 4-bit KV-cache quantization read b…

arXiv AI Read →
◬ AI & Machine Learning Aug 13, 2026
A Forced-Structure Reduction and Verifiable Bounds for Conway's 99-Graph

arXiv:2608.11211v1 Announce Type: new Abstract: Conway's 99-graph problem asks whether a strongly regular graph with parameters $\mathrm{srg}(99,14,1,2)$ exists. We report a systematic, fully reproduc…

arXiv AI Read →
◬ AI & Machine Learning Aug 13, 2026
Distribird: Literature-Informed Prior Distribution Design for Bayesian Model Calibration

arXiv:2608.11210v1 Announce Type: new Abstract: Bayesian calibration of process-based models requires a prior distribution for each model parameter. Despite decades of methodological work, researchers…

arXiv AI Read →
◬ AI & Machine Learning Aug 13, 2026
How kids feel about AI, in their own words

When we set out to talk to kids about artificial intelligence, we thought we knew what we’d hear. We expected some to tell us they were using it to cheat a little, the way Millennials and Gen Xers ope…

MIT Tech Review AI Read →
◬ AI & Machine Learning Aug 13, 2026
Flock is tightening its rules in response to a growing surveillance backlash

The police-tech giant Flock is announcing today that it will change officers’ access to its nationwide network of license plate readers, in an apparent effort to quell a growing backlash and win back …

MIT Tech Review AI Read →
◬ AI & Machine Learning Aug 13, 2026
What We Learned by Reproducing 2,200 papers from ICML
Hugging Face Read →
◬ AI & Machine Learning Aug 13, 2026
Record, train, and deploy from one place with Strands Agents, LeRobot, and Hugging Face Storage Buckets
Hugging Face Read →
◬ AI & Machine Learning Aug 13, 2026
Bring your spreadsheet data to life with Sheets canvas

Sheets canvas turns data into interactive dashboards, custom study trackers, seating charts, and more, all with a simple prompt.

Google AI Read →
◬ AI & Machine Learning Aug 13, 2026
Dynamic Governance of Multi-LLM Agent Systems for Collaborative Conversational Outcomes

arXiv:2608.11207v1 Announce Type: new Abstract: When two LLM agents with structurally opposed objectives interact across multiple turns, the absence of a shared goal function produces not competition …

arXiv AI Read →
◬ AI & Machine Learning Aug 13, 2026
Defending against Model Extraction for GNNs with Model Reprogramming

arXiv:2608.11495v1 Announce Type: cross Abstract: Graph Neural Networks (GNNs) serve as the backbone for high-stakes applications in Machine-Learning-as-a-Service (MLaaS). Still, their black-box deplo…

arXiv Security Read →
◬ AI & Machine Learning Aug 13, 2026
Analysis of Federated Aggregation under Model Poisoning and Backdoor Attacks: A Reconstructed Cross-Dataset and Cross-Architecture Benchmark

arXiv:2608.11423v1 Announce Type: cross Abstract: Robust comparisons of federated aggregation methods require joint consideration of predictive performance, threat definitions, metric semantics, and e…

arXiv Security Read →
◬ AI & Machine Learning Aug 13, 2026
SegPAR: Class-Centric Decision-Based Sparse Attack for Semantic Segmentation

arXiv:2608.11285v1 Announce Type: cross Abstract: Despite the practical relevance of sparse decision-based black-box threats, they have received limited attention in semantic segmentation. To bridge t…

arXiv Security Read →
◬ AI & Machine Learning Aug 13, 2026
Convergent Detour Hijacking: Task-Preserving Resource Amplification in Skill-Based LLM Agents

arXiv:2608.12273v1 Announce Type: new Abstract: LLM agents increasingly rely on third-party skills, using natural-language descriptions for selection and instruction bodies for planning. This progress…

arXiv Security Read →
◬ AI & Machine Learning Aug 13, 2026
VICBench: A Multi-Language Benchmark for Code Vulnerability Detection

arXiv:2608.12246v1 Announce Type: new Abstract: Evaluating security vulnerability detection tools requires benchmark datasets with vulnerability-inducing commits (VICs) - the commits that first introd…

arXiv Security Read →
◬ AI & Machine Learning Aug 13, 2026
Machine Learning-Based Cyber Defense for Cloud Infrastructure: An Adaptive Deep Q-Network Architecture for Intelligent Intrusion Detection and Automated Threat Mitigation

arXiv:2608.12190v1 Announce Type: new Abstract: With the increasing complexity of cyber assaults in cloud environments, adaptable security solutions are needed that can support real-time detection and…

arXiv Security Read →
◬ AI & Machine Learning Aug 13, 2026
A Comparison of Malware Image Transformations Using Grad-CAM and Hybrid Learning Models

arXiv:2608.12077v1 Announce Type: new Abstract: Recent studies have shown that binary-to-image representations can enable effective machine learning-based results for malware detection and classificat…

arXiv Security Read →
◬ AI & Machine Learning Aug 13, 2026
Slips: Behavioral Evidence Aggregation for Network Security

arXiv:2608.11979v1 Announce Type: new Abstract: Network intrusion detection systems often analyze individual packets or flows, although malicious behavior may develop across many connections and over …

arXiv Security Read →
◬ AI & Machine Learning Aug 13, 2026
Rank-Two Frobenius-Linearized Normal Forms and Orthoderivative Dual Coordinates in Quadratic APN Maps

arXiv:2608.11939v1 Announce Type: new Abstract: We classify binary-linear two-term Frobenius-linearized operators $L(Y)=AY^\sigma+BY$ on $K^3$, where $K$ is a finite extension of $\mathbb{F}_2$ and $\…

arXiv Security Read →
◬ AI & Machine Learning Aug 13, 2026
ToolHazard: Scaling Adversarial Environments for Security Evaluation and Alignment of LLM-based Agents

arXiv:2608.11878v1 Announce Type: new Abstract: Large language model (LLM) agents integrated with external tools are vulnerable to indirect prompt injections embedded in environmental states. However,…

arXiv Security Read →
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