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◬ AI & Machine Learning Aug 11, 2026
Dynamic Coalition Formation and Communication Pricing in Skill-Based Agentic AI Systems

arXiv:2608.07532v1 Announce Type: new Abstract: Modern agentic AI systems combine multiple large language model agents with heterogeneous skills, yet most architectures either fix communication in adv…

arXiv AI Read →
◬ AI & Machine Learning Aug 11, 2026
NL2SHACL-Bench: A Benchmark Suite for Natural Language to SHACL Translation

arXiv:2608.07530v1 Announce Type: new Abstract: SHACL is a core technology for validating the conformance of RDF knowledge graphs (KGs). Yet, authoring SHACL shapes requires technical expertise that m…

arXiv AI Read →
◬ AI & Machine Learning Aug 11, 2026
The Knowing-Saying Gap: When Probes See Errors that Confidence Misses

arXiv:2608.07528v1 Announce Type: new Abstract: Linear probes detect corrupted context in language models with near-perfect accuracy, yet this does not translate into reliable failure prediction. The …

arXiv AI Read →
◬ AI & Machine Learning Aug 11, 2026
Training Variable Long Sequences with Data-Centric Parallel

arXiv:2608.07524v1 Announce Type: new Abstract: Training deep learning models on variable long sequences poses significant computational challenges. Existing methods force a difficult trade-off betwee…

arXiv AI Read →
◬ AI & Machine Learning Aug 11, 2026
Emotion in an active inference model of human driving

arXiv:2608.07480v1 Announce Type: new Abstract: Active inference has emerged as a principled framework for modeling adaptive behavior by balancing goal-directed action with uncertainty reduction. It h…

arXiv AI Read →
◬ AI & Machine Learning Aug 11, 2026
Determinization in Structure Theories: A Unified Framework via Closure, Comparability, and Joint Admissibility

arXiv:2608.07476v1 Announce Type: new Abstract: We develop a formal framework for constructing canonical interpretations from plural structure theories. A structure theory is a triple T = ({\Sigma}, A…

arXiv AI Read →
◬ AI & Machine Learning Aug 11, 2026
Flow-by-Flow:Content-Judgment Bypass for Governing AI Output in High-Loss Domains

arXiv:2608.07474v1 Announce Type: new Abstract: Prior work showed that human-in-the-loop oversight becomes structurally untenable in high-loss domains when AI output velocity V exceeds human cognitive…

arXiv AI Read →
◬ AI & Machine Learning Aug 11, 2026
Towards an Argumentative Foundation for Evaluative AI

arXiv:2608.07473v1 Announce Type: new Abstract: Evaluative AI (EAI) has been recently proposed as a way to support human decision-making, not by producing a single recommendation, but by presenting co…

arXiv AI Read →
◬ AI & Machine Learning Aug 11, 2026
Renaming or Tightness: Enforcing Disjunctive Information Flow Policies

arXiv:2608.09120v1 Announce Type: new Abstract: A disjunctive policy allows a value to depend on at most one of two secrets and never on both: an analyst may consult one client's file or the other's, …

arXiv Security Read →
◬ AI & Machine Learning Aug 11, 2026
VUPER: Verified ASN.1 UPER Parser

arXiv:2608.09094v1 Announce Type: new Abstract: ASN.1 is a widely used interface description language, and UPER (Unaligned Packed Encoding Rules) is one of its key encoding rules, particularly popular…

arXiv Security Read →
◬ AI & Machine Learning Aug 11, 2026
SLAC: Access-Driven CPU-to-GPU Side-channel Attacks via System-Level Cache on Apple Silicon

arXiv:2608.09075v1 Announce Type: new Abstract: Modern heterogeneous System-on-Chip designs integrate CPU cores and a GPU that share a last-level cache (LLC) or system-level cache (SLC). This sharing …

arXiv Security Read →
◬ AI & Machine Learning Aug 11, 2026
Telemetry and Concealment in Self-Adapting Generative AI: Logging Architecture, Adversarial Model Hiding, and the Limits of Detection

arXiv:2608.09069v1 Announce Type: new Abstract: Model risk management (MRM) guidance assumes a static model lifecycle, in which models are developed, independently validated, and implemented without f…

arXiv Security Read →
◬ AI & Machine Learning Aug 11, 2026
SSHafe: A Real-Time SSH Brute Force Attack Detection and Novel Credential Rotation Standard

arXiv:2608.09066v1 Announce Type: new Abstract: SSH remains a critical yet heavily targeted protocol for remote system administration, with password-based authentication exposing servers to large-scal…

arXiv Security Read →
◬ AI & Machine Learning Aug 11, 2026
Diversity Matters: Distributional Feature Coverage Sample Selection for Data-Efficient Backdoor Attacks

arXiv:2608.09047v1 Announce Type: new Abstract: Backdoor attacks compromise training data so that a model retains clean accuracy but predicts an attacker-chosen target on triggered inputs. At very low…

arXiv Security Read →
◬ AI & Machine Learning Aug 11, 2026
Mind the Hook: Source-Level Auditing of Privacy Defenses in Retrieval-Augmented Generation

arXiv:2608.09001v1 Announce Type: new Abstract: Black-box privacy scores for retrieval-augmented generation (RAG) are difficult to interpret unless the audited defense's active pipeline hook is known.…

arXiv Security Read →
◬ AI & Machine Learning Aug 11, 2026
A Complexity-Theoretic Approach to Proofs of Space

arXiv:2608.08993v1 Announce Type: new Abstract: A Proof of Space, PoS, as introduced by Dziembowski et al. [CRYPTO'15], is a two-phase protocol that enables a Prover to convince an efficient Verifier …

arXiv Security Read →
◬ AI & Machine Learning Aug 11, 2026
Beyond Best Response: Quantal Stackelberg Deception as Insurance Against Attacker Misspecification

arXiv:2608.08865v1 Announce Type: new Abstract: Stackelberg Security Games (SSG) assume that an attacker observes the defender's strategy and chooses the target that maximizes their expected utility p…

arXiv Security Read →
◬ AI & Machine Learning Aug 11, 2026
Treating Statewide CORS Networks as Spatially Distributed Sensors for GNSS Integrity Monitoring under Unintentional and Deliberate Threats

arXiv:2608.08831v1 Announce Type: new Abstract: State departments of transportation (DOTs) in the United States increasingly rely on statewide continuously operating reference station (CORS) networks …

arXiv Security Read →
◬ AI & Machine Learning Aug 11, 2026
Toward Metacognitive One-Shot Indirect Prompt Injection: Strategy Abstraction Via Outcome-Conditioned Reflection

arXiv:2608.08795v1 Announce Type: new Abstract: Tool-using large language model (LLM) agents are vulnerable to indirect prompt injection (IPI), in which malicious instructions embedded in external obs…

arXiv Security Read →
◬ AI & Machine Learning Aug 11, 2026
HaloMark: A Spectral Threshold for Embedding-Vector Watermarking under C2PA

arXiv:2608.08645v1 Announce Type: new Abstract: Foundation-model embeddings are now a primary data asset, but the content-provenance machinery built for images and audio does not transfer to them. C2P…

arXiv Security Read →
◬ AI & Machine Learning Aug 11, 2026
Whose Refusal Is It? The Unmeasured Contribution of Black-Box Multimodal Guardrails

arXiv:2608.08641v1 Announce Type: new Abstract: A black-box guardrail is evaluated as though the safety number it earns were its own. It is not. A defended pipeline holds two components that can refus…

arXiv Security Read →
◬ AI & Machine Learning Aug 11, 2026
SkillsMetric: Mapping the Detection Boundary of Static Analysis for Malicious Agent Skills

arXiv:2608.08468v1 Announce Type: new Abstract: Agent Skills---structured packages of instructions and scripts that augment LLM-based agents---are rapidly proliferating, yet their security properties …

arXiv Security Read →
◬ AI & Machine Learning Aug 11, 2026
Differential Privacy for Markov Chain State Trajectories

arXiv:2608.08341v1 Announce Type: new Abstract: Data-driven systems may require state trajectories of Markov chains to function because these trajectories contain information that is useful to the sys…

arXiv Security Read →
◬ AI & Machine Learning Aug 11, 2026
Privacy-Preserving Data Drift Detection and Recovery for Large-Scale LLM Applications via Proxy Representations

arXiv:2608.08245v1 Announce Type: new Abstract: LLM applications deployed at scale face a fundamental challenge: privacy constraints prevent direct inspection of user interactions, making it difficult…

arXiv Security Read →
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