arXiv:2512.22174v2 Announce Type: cross Abstract: Large Language Models (LLMs) deployed in practical and safety-critical settings are increasingly susceptible to bit-flip faults caused by hardware deg…
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arXiv:2512.22174v2 Announce Type: cross Abstract: Large Language Models (LLMs) deployed in practical and safety-critical settings are increasingly susceptible to bit-flip faults caused by hardware deg…
arXiv:2604.15249v1 Announce Type: new Abstract: Post-quantum cryptographic accelerators require side-channel resistance evidence for FIPS 140-3 certification. However, exact masking-verification tools…
arXiv:2604.15136v1 Announce Type: new Abstract: Binary analysis increasingly relies on large language models (LLMs) to perform semantic reasoning over complex program behaviors. However, existing appr…
arXiv:2604.15118v1 Announce Type: new Abstract: Permission control vulnerabilities in Non-fungible token (NFT) contracts can result in significant financial losses, as attackers may exploit these weak…
arXiv:2604.15073v1 Announce Type: new Abstract: Increasing system-on-chip (SoC) heterogeneity, deep hardware/software integration, and the proliferation of third-party intellectual property (IP) have …
arXiv:2604.15022v1 Announce Type: new Abstract: Cost-aware routing dynamically dispatches user queries to models of varying capability to balance performance and inference cost. However, the routing s…
arXiv:2604.14996v1 Announce Type: new Abstract: The incidence of cybersecurity attacks utilizing social engineering techniques has increased. Such attacks exploit the fact that in every secure system,…
arXiv:2604.14973v1 Announce Type: new Abstract: A vision foundation model outputs an embedding vector for an image, which can be affected by common editing operations (e.g., JPEG compression, brightne…
arXiv:2604.14909v1 Announce Type: new Abstract: Private set intersection (PSI) enables a sender holding a set $Q$ of size $m$ and a receiver holding a set $W$ of size $n$ to securely compute the inter…
arXiv:2604.14685v1 Announce Type: new Abstract: Provenance-based intrusion detection has emerged as a promising approach for analyzing complex attack behaviors through system-level provenance graphs. …
arXiv:2604.14663v1 Announce Type: new Abstract: Federated learning (FL) enables collaborative intrusion detection without raw data exchange, but conventional FL incurs high communication overhead from…
arXiv:2604.14604v1 Announce Type: new Abstract: Modern Large audio-language models (LALMs) power intelligent voice interactions by tightly integrating audio and text. This integration, however, expand…
arXiv:2604.14512v1 Announce Type: new Abstract: Agent communication languages (ACLs) enable heterogeneous agents to share knowledge and coordinate across diverse domains. This diversity demands extens…
arXiv:2604.14457v1 Announce Type: new Abstract: Deep neural networks (DNNs) remain largely opaque at inference time, limiting our ability to detect and diagnose malicious input manipulations such as a…
arXiv:2604.14444v1 Announce Type: new Abstract: Ensuring the reliability of machine learning-based intrusion detection systems remains a critical challenge in Internet of Things (IoT) environments, pa…
arXiv:2604.14431v1 Announce Type: new Abstract: Mobile applications rely on complex backends that introduce significant security risks, yet developers often lack the tools to assess these risks effect…
arXiv:2604.14360v1 Announce Type: new Abstract: Resilience in cyber-physical systems (CPS) is the fundamental ability to maintain safety and critical functionality despite adverse "perturbations," whi…
arXiv:2604.14330v1 Announce Type: new Abstract: Mutual TLS (mTLS) provides strong, certificate-based authentication for both clients and servers, yet its adoption for user-facing websites remains rare…
arXiv:2604.14317v1 Announce Type: new Abstract: Agentic systems built on large language models (LLMs) are increasingly being used for complex security tasks, including binary reverse engineering (RE).…
arXiv:2604.14250v1 Announce Type: new Abstract: An important aspect of crowd monitoring is knowing how many people we are dealing with. Sometimes, knowing the size of a crowd in a single location and …
arXiv:2604.14242v1 Announce Type: new Abstract: Cloud sovereignty can no longer be defined by data residency or infrastructure location alone. Under conditions of geopolitical disruption, legal exposu…
arXiv:2604.14233v1 Announce Type: new Abstract: The IEC-61850 GOOSE protocol underpins time-critical communication in modern digital substations but lacks native security mechanisms, leaving it vulner…
The European Commission’s newly launched Digital Age Verification App, unveiled on April 14, 2026, to protect minors from harmful online content, has already been compromised, with UK-based security c…
A recently disclosed high-severity security flaw in Apache ActiveMQ Classic has come under active exploitation in the wild, per the U.S. Cybersecurity and Infrastructure Security Agency (CISA). To tha…