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◬ AI & Machine Learning Mar 24, 2026
A Survey of Web Application Security Tutorials

arXiv:2603.21556v1 Announce Type: new Abstract: Developers rely on online tutorials to learn web application security, but tutorial quality varies. We reviewed 132 free security tutorials to examine t…

arXiv Security Read →
◬ AI & Machine Learning Mar 24, 2026
When the Abyss Looks Back: Unveiling Evolving Dark Patterns in Cookie Consent Banners

arXiv:2603.21515v1 Announce Type: new Abstract: To comply with data protection regulations such as the EU General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA), webs…

arXiv Security Read →
◬ AI & Machine Learning Mar 24, 2026
Hardening Confidential Federated Compute against Side-channel Attacks

arXiv:2603.21469v1 Announce Type: new Abstract: In this work, we identify a set of side-channels in our Confidential Federated Compute platform that a hypothetical insider could exploit to circumvent …

arXiv Security Read →
◬ AI & Machine Learning Mar 24, 2026
Fingerprinting Deep Neural Networks for Ownership Protection: An Analytical Approach

arXiv:2603.21411v1 Announce Type: new Abstract: Adversarial-example-based fingerprinting approaches, which leverage the decision boundary characteristics of deep neural networks (DNNs) to craft finger…

arXiv Security Read →
◬ AI & Machine Learning Mar 24, 2026
DeepXplain: XAI-Guided Autonomous Defense Against Multi-Stage APT Campaigns

arXiv:2603.21296v1 Announce Type: new Abstract: Advanced Persistent Threats (APTs) are stealthy, multi-stage attacks that require adaptive and timely defense. While deep reinforcement learning (DRL) e…

arXiv Security Read →
◬ AI & Machine Learning Mar 24, 2026
Hardware Trojans from Invisible Inversions: On the Trojanizability of Standard Cell Libraries

arXiv:2603.21294v1 Announce Type: new Abstract: At S&P 2023, Puschner et al. made a valuable dataset for hardware Trojan detection research publicly available. It contains a complete set of Scanning E…

arXiv Security Read →
◬ AI & Machine Learning Mar 24, 2026
Estimating the Social Cost of Corporate Data Breaches

arXiv:2603.21270v1 Announce Type: new Abstract: While the size of a data breach is typically measured by the number of (consumer, customer, or user) records exposed or compromised, its economic impact…

arXiv Security Read →
◬ AI & Machine Learning Mar 24, 2026
When Convenience Becomes Risk: A Semantic View of Under-Specification in Host-Acting Agents

arXiv:2603.21231v1 Announce Type: new Abstract: Host-acting agents promise a convenient interaction model in which users specify goals and the system determines how to realize them. We argue that this…

arXiv Security Read →
◬ AI & Machine Learning Mar 24, 2026
Security and Privacy in O-RAN for 6G: A Comprehensive Review of Threats and Mitigation Approaches

arXiv:2603.21211v1 Announce Type: new Abstract: Open Radio Access Network (O-RAN) is a major advancement in the telecommunications field, providing standardized interfaces that promote interoperabilit…

arXiv Security Read →
◬ AI & Machine Learning Mar 24, 2026
Is Monitoring Enough? Strategic Agent Selection For Stealthy Attack in Multi-Agent Discussions

arXiv:2603.21194v1 Announce Type: new Abstract: Multi-agent discussions have been widely adopted, motivating growing efforts to develop attacks that expose their vulnerabilities. In this work, we stud…

arXiv Security Read →
◬ AI & Machine Learning Mar 24, 2026
PrismWF: A Multi-Granularity Patch-Based Transformer for Robust Website Fingerprinting Attack

arXiv:2603.21117v1 Announce Type: new Abstract: Tor is a low-latency anonymous communication network that protects user privacy by encrypting website traffic. However, recent website fingerprinting (W…

arXiv Security Read →
◬ AI & Machine Learning Mar 24, 2026
Zero-Shot Vulnerability Detection in Low-Resource Smart Contracts Through Solidity-Only Training

arXiv:2603.21058v1 Announce Type: new Abstract: Smart contracts have transformed decentralized finance, but flaws in their logic still create major security threats. Most existing vulnerability detect…

arXiv Security Read →
◬ AI & Machine Learning Mar 24, 2026
SkillProbe: Security Auditing for Emerging Agent Skill Marketplaces via Multi-Agent Collaboration

arXiv:2603.21019v1 Announce Type: new Abstract: With the rapid evolution of Large Language Model (LLM) agent ecosystems, centralized skill marketplaces have emerged as pivotal infrastructure for augme…

arXiv Security Read →
◬ AI & Machine Learning Mar 24, 2026
Cyber Deception for Mission Surveillance via Hypergame-Theoretic Deep Reinforcement Learning

arXiv:2603.20981v1 Announce Type: new Abstract: Unmanned Aerial Vehicles (UAVs) are valuable for mission-critical systems like surveillance, rescue, or delivery. Not surprisingly, such systems attract…

arXiv Security Read →
◬ AI & Machine Learning Mar 24, 2026
Before the Tool Call: Deterministic Pre-Action Authorization for Autonomous AI Agents

arXiv:2603.20953v1 Announce Type: new Abstract: AI agents today have passwords but no permission slips. They execute tool calls (fund transfers, database queries, shell commands, sub-agent delegation)…

arXiv Security Read →
◬ AI & Machine Learning Mar 24, 2026
A chaotic flux cipher based on the random cubic family $f_{c_n}(z)=z^3+c_n z$

arXiv:2603.20937v1 Announce Type: new Abstract: This paper presents a symmetric stream cipher that utilizes the dynamic properties of random cubic mappings in the complex plane to generate pseudo-rand…

arXiv Security Read →
◬ AI & Machine Learning Mar 24, 2026
AC4A: Access Control for Agents

arXiv:2603.20933v1 Announce Type: new Abstract: Large Language Model (LLM) agents combine the chat interaction capabilities of LLMs with the power to interact with external tools and APIs. This enable…

arXiv Security Read →
◬ AI & Machine Learning Mar 24, 2026
ChainGuards: Verification of Sensed Data using Permissioned Blockchain Technology

arXiv:2603.20769v1 Announce Type: new Abstract: Sensor technologies have evolved to a point where it is now practical to monitor products along the supply chain. The collected data can be stored in a …

arXiv Security Read →
◬ AI & Machine Learning Mar 24, 2026
ACRFence: Preventing Semantic Rollback Attacks in Agent Checkpoint-Restore

arXiv:2603.20625v1 Announce Type: new Abstract: LLM agent frameworks increasingly offer checkpoint-restore for error recovery and exploration, advising developers to make external tool calls safe to r…

arXiv Security Read →
◬ AI & Machine Learning Mar 24, 2026
Unveiling the Security Risks of Federated Learning in the Wild: From Research to Practice

arXiv:2603.20615v1 Announce Type: new Abstract: Federated learning (FL) has attracted substantial attention in both academia and industry, yet its practical security posture remains poorly understood.…

arXiv Security Read →
◬ AI & Machine Learning Mar 24, 2026
Meeting in the Middle: A Co-Design Paradigm for FHE and AI Inference

arXiv:2603.20504v1 Announce Type: new Abstract: Modern cloud inference creates a two sided privacy problem where users reveal sensitive inputs to providers, while providers must execute proprietary mo…

arXiv Security Read →
◬ AI & Machine Learning Mar 24, 2026
Hawkeye: Reproducing GPU-Level Non-Determinism

arXiv:2603.20421v1 Announce Type: new Abstract: We present Hawkeye, a system for analyzing and reproducing GPU-level arithmetic operations. Using our framework, anyone can re-execute on a CPU the exac…

arXiv Security Read →
◬ AI & Machine Learning Mar 24, 2026
Memory poisoning and secure multi-agent systems

arXiv:2603.20357v1 Announce Type: new Abstract: Memory poisoning attacks for Agentic AI and multi-agent systems (MAS) have recently caught attention. It is partially due to the fact that Large Languag…

arXiv Security Read →
◬ AI & Machine Learning Mar 24, 2026
MANA: Towards Efficient Mobile Ad Detection via Multimodal Agentic UI Navigation

arXiv:2603.20351v1 Announce Type: new Abstract: Mobile advertising dominates app monetization but introduces risks ranging from intrusive user experience to malware delivery. Existing detection method…

arXiv Security Read →
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