arXiv:2608.04190v1 Announce Type: new Abstract: Deploying pre-trained perception models in novel environments degrades their accuracy under distributional shift, and assembling them alone does not rec…
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arXiv:2608.04190v1 Announce Type: new Abstract: Deploying pre-trained perception models in novel environments degrades their accuracy under distributional shift, and assembling them alone does not rec…
arXiv:2608.04156v1 Announce Type: new Abstract: Electroencephalography (EEG) analysis extends beyond assigning predefined labels to recordings; it requires workflows connecting natural-language instru…
arXiv:2608.04095v1 Announce Type: new Abstract: Large language model (LLM) agents are increasingly used as personalized assistants in high-stakes domains such as financial advising, yet it remains unc…
arXiv:2608.04077v1 Announce Type: new Abstract: Evaluating financial AI agents requires criteria aligned with real professional work. Existing rubric methods typically derive criteria from task prompt…
arXiv:2608.04071v1 Announce Type: new Abstract: Automatically generating professional multimodal reports comprising both textual analysis and visual charts from structured tabular data is a critical c…
arXiv:2608.04066v1 Announce Type: new Abstract: How do you verify a long-horizon agent when its own state and self-reports are exactly what you cannot trust? We present an agent instrument built so th…
arXiv:2608.04012v1 Announce Type: new Abstract: Artificial intelligence systems are increasingly expected to operate over repeated cycles of interaction, adaptation, and update rather than through iso…
arXiv:2608.04881v1 Announce Type: new Abstract: Radio frequency fingerprint identification (RFFI) is a promising technique for wireless device authentication. However, practical RFFI systems must enro…
arXiv:2608.04857v1 Announce Type: new Abstract: Modern software systems rely on cryptography for data protection, authentication, and trust establishment, yet organizations often lack a structured vie…
arXiv:2608.04756v1 Announce Type: new Abstract: In Retrieval-Augmented Generation (RAG), post-retrieval conflict resolution arbitrates among noisy or contradictory retrieved passages. However, the rob…
arXiv:2608.04755v1 Announce Type: new Abstract: Mobile GUI agents routinely encounter system permission dialogs during task execution, yet their ability to grant only permissions that are necessary fo…
arXiv:2608.04744v1 Announce Type: new Abstract: Web caches support the scalability needs of contemporary web applications by storing frequently accessed objects closer to clients. Web caches are conce…
arXiv:2608.04741v1 Announce Type: new Abstract: LLM-based web agents automate user tasks by observing webpages and executing browser actions on behalf of users. As these agents operate on real web ser…
arXiv:2608.04680v1 Announce Type: new Abstract: To adopt the Vision Transformers (ViTs) in resource-constrained environment, token pruning is widely used to reduce computational cost without impacting…
arXiv:2608.04626v1 Announce Type: new Abstract: AI agents are evolving from isolated task executors into networked autonomous entities that can communicate, delegate tasks, invoke tools, access extern…
arXiv:2608.04602v1 Announce Type: new Abstract: Network intrusion detection systems (IDS) trained on fixed traffic snapshots decay silently after deployment as threat distributions shift. Fine-tuning …
arXiv:2608.04565v1 Announce Type: new Abstract: LLM-based search agents are widely used for information-seeking tasks, but their reliance on external tool returns introduces a critical security risk: …
arXiv:2608.04523v1 Announce Type: new Abstract: Hardcoded secrets in source code pose critical security vulnerabilities which can be easily exploited by malicious adversaries. Existing regex-based det…
arXiv:2608.04477v1 Announce Type: new Abstract: Cloud-based language model services routinely process prompts containing sensitive information. Obfuscation-based defenses---including ObfusLM, Sentinel…
arXiv:2608.04375v1 Announce Type: new Abstract: Large Language Models (LLMs) have emerged as powerful tools that impact information integrity on social media platforms. This comprehensive review exami…
arXiv:2608.04366v1 Announce Type: new Abstract: While retrieval-augmented generation systems partially address the hallucination issues in large language models, it also introduces new vulnerabilities…
arXiv:2608.04317v1 Announce Type: new Abstract: Autonomous cyber defense systems based on Deep Reinforcement Learning (DRL) have attracted significant research attention, yet remain evaluated almost e…
arXiv:2608.04314v1 Announce Type: new Abstract: Once visual content enters an AI pipeline, its owner often retains little technical control over how it is used. Legal and regulatory remedies can addre…
arXiv:2608.04255v1 Announce Type: new Abstract: Graph inference over relational data can expose sensitive edge information, and this risk becomes more severe in dynamic graphs, where repeated model up…