arXiv:2604.19083v1 Announce Type: new Abstract: Multimodal Large Language Models (MLLMs) have achieved remarkable success in cross-modal understanding and generation, yet their deployment is threatene…
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arXiv:2604.19083v1 Announce Type: new Abstract: Multimodal Large Language Models (MLLMs) have achieved remarkable success in cross-modal understanding and generation, yet their deployment is threatene…
arXiv:2604.19053v1 Announce Type: new Abstract: We propose CHRONOS, a hardware-assisted framework that decouples the cryptographic setup required for private gradient aggregation from the active train…
arXiv:2604.19049v1 Announce Type: new Abstract: LLM-assisted defect discovery has a precision crisis: plausible-but-wrong reports overwhelm maintainers and degrade credibility for real findings. We pr…
arXiv:2604.19031v1 Announce Type: new Abstract: Software vulnerabilities are a primary threat to modern infrastructure. While static analysis and Graph Neural Networks have long served as the foundati…
arXiv:2604.19012v1 Announce Type: new Abstract: Deep learning for vulnerability detection has shown promising results on early benchmarks, but recent evaluations reveal catastrophic degradation: model…
arXiv:2604.18860v1 Announce Type: new Abstract: GUI agents that control desktop computers via screenshot-and-click loops introduce a new class of vulnerability: the observation-to-action gap (mean 6.5…
arXiv:2604.18819v1 Announce Type: new Abstract: The integration of Fog Computing with Flying Ad-Hoc Networks (FANETs) offers promising capabilities for decentralized, low-latency intelligence in UAV-b…
arXiv:2604.18718v1 Announce Type: new Abstract: Agentic security systems increasingly audit live targets with tool-using LLMs, but prior systems fix a single coordination topology, leaving unclear whe…
arXiv:2604.18717v1 Announce Type: new Abstract: Formal verification of masking in post-quantum cryptographic (PQC) hardware relies on SMT solvers over finite domains. Our prior work established struct…
arXiv:2604.18716v1 Announce Type: new Abstract: Today, machine learning is widely applied in sensitive, security-related, and financially lucrative applications. Model extraction attacks undermine cur…
arXiv:2604.18697v1 Announce Type: new Abstract: Indistinguishability properties such as differential privacy bounds or low empirically measured membership inference are widely treated as proxies to sh…
arXiv:2604.18663v1 Announce Type: new Abstract: Existing jamming attacks on Retrieval-Augmented Generation (RAG) systems typically induce explicit refusals or denial-of-service behaviors, which are co…
arXiv:2604.18660v1 Announce Type: new Abstract: Large Language Models (LLMs) are increasingly used in education, yet their default helpfulness often conflicts with pedagogical principles. Prior work e…
arXiv:2604.18658v1 Announce Type: new Abstract: Existing AI agent safety benchmarks focus on generic criminal harm (cybercrime, harassment, weapon synthesis), leaving a systematic blind spot for a dis…
arXiv:2604.18652v1 Announce Type: new Abstract: The transition of agentic AI from brittle prototypes to production systems is stalled by a pervasive crisis of craft. We suggest that the prevailing orc…
arXiv:2604.18649v1 Announce Type: new Abstract: As generative AI faces intensifying legal challenges, the machine learning community has increasingly relied on post-hoc mitigation -- especially machin…
arXiv:2604.18633v1 Announce Type: new Abstract: Web tracking by ad networks, social networks, and other third parties is privacy-invasive. To protect users' privacy an increasing number of countries a…
Vance, Bessent questioned tech giants on AI security before Anthropic's Mythos release CNBC
Changes to GitHub Copilot Individual plans On the same day as Claude Code's temporary will-they-won't-they $100/month kerfuffle (for the moment, they won't ), here's the latest on GitHub Copilot prici…
Anthropic today quietly (as in silently , no announcement anywhere at all) updated their claude.com/pricing page (but not their Choosing a Claude plan page , which shows up first for me on Google) to …
Turns out not everyone wants to live in the future that AI companies are building. People from all walks of life are speaking out against rising electricity bills from data centers, disappearing jobs,…
AI companies frequently invoke the possibility of AI-enabled scientific discovery as a justification for their existence: If the technology eventually cures cancer and solves climate change, then all …
Silicon Valley AI companies follow a familiar playbook: Keep the secret sauce behind an API, and charge for every drop. China’s leading AI labs are playing a different game: They ship models as downlo…
I was recently invited to join an app that would pay me cryptocurrency to film myself doing tasks like putting food into a bowl, microwaving it, and then taking it out. Another website suggested I try…