567 matches found
CVE-2025-0139: Incorrect Privilege Assignment
An incorrect privilege assignment vulnerability in Palo Alto Networks Autonomous Digital Experience Manager allows a locally authenticated low privileged user on macOS endpoints to escalate their privileges to root...
RedCoder: Automated Multi-Turn Red Teaming for Code LLMs
Large Language Models LLMs for code generation i.e., Code LLMs have demonstrated impressive capabilities in AI-assisted software development and testing. However, recent studies have shown that these models are prone to generating vulnerable or even malicious code under adversarial settings...
Reversing the Paradigm: Building AI-First Systems with Human Guidance
The relationship between humans and artificial intelligence is no longer science fiction -- it's a growing reality reshaping how we live and work. AI has moved beyond research labs into everyday life, powering customer service chats, personalizing travel, aiding doctors in diagnosis, and supporti...
AIRTBench: Measuring Autonomous AI Red Teaming Capabilities in Language Models
We introduce AIRTBench, an AI red teaming benchmark for evaluating language models' ability to autonomously discover and exploit Artificial Intelligence and Machine Learning AI/ML security vulnerabilities. The benchmark consists of 70 realistic black-box capture-the-flag CTF challenges from the...
Algorithmic Approaches to Enhance Safety in Autonomous Vehicles: Minimizing Lane Changes and Merging
The rapid advancements in autonomous vehicle AV technology promise enhanced safety and operational efficiency. However, frequent lane changes and merging maneuvers continue to pose significant safety risks and disrupt traffic flow. This paper introduces the Minimizing Lane Change Algorithm MLCA, ...
Autonomous 3D Moving Target Encirclement and Interception with Range Measurement
Commercial UAVs are an emerging security threat as they are capable of carrying hazardous payloads or disrupting air traffic. To counter UAVs, we introduce an autonomous 3D target encirclement and interception strategy. Unlike traditional ground-guided systems, this strategy employs autonomous...
Massive 7.3 Tbps DDoS Attack Delivers 37.4 TB in 45 Seconds, Targeting Hosting Provider
Cloudflare on Thursday said it autonomously blocked the largest distributed denial-of-service DDoS attack ever recorded, which hit a peak of 7.3 terabits per second Tbps. The attack, which was detected in mid-May 2025, targeted an unnamed hosting provider. "Hosting providers and critical Internet...
Training RL Agents for Multi-Objective Network Defense Tasks
Open-ended learning OEL -- which emphasizes training agents that achieve broad capability over narrow competency -- is emerging as a paradigm to develop artificial intelligence AI agents to achieve robustness and generalization. However, despite promising results that demonstrate the benefits of...
One Patch to Rule Them All: Transforming Static Patches into Dynamic Attacks in the Physical World
Numerous methods have been proposed to generate physical adversarial patches PAPs against real-world machine learning systems. However, each existing PAP typically supports only a single, fixed attack goal, and switching to a different objective requires re-generating and re-deploying a new PAP...
5 Things Security Leaders Need to Know About Agentic AI
From writing assistance to intelligent summarization, generative AI has already transformed the way businesses work. But we’re now entering a new phase where AI doesn’t just generate content, but takes independent action on our behalf. This next evolution is called ‘agentic AI’, and it’s moving...
COALESCE: Economic and Security Dynamics of Skill-Based Task Outsourcing among Team of Autonomous LLM Agents
The meteoric rise and proliferation of autonomous Large Language Model LLM agents promise significant capabilities across various domains. However, their deployment is increasingly constrained by substantial computational demands, specifically for Graphics Processing Unit GPU resources. This pape...
Blockchain Powered Edge Intelligence for U-Healthcare in Privacy Critical and Time Sensitive Environment
Edge Intelligence EI serves as a critical enabler for privacy-preserving systems by providing AI-empowered computation and distributed caching services at the edge, thereby minimizing latency and enhancing data privacy. The integration of blockchain technology further augments EI frameworks by...
Security Concerns for Large Language Models: a Survey
Large Language Models LLMs such as GPT-4 and its recent iterations, Google's Gemini, Anthropic's Claude 3 models, and xAI's Grok have caused a revolution in natural language processing, but their capabilities also introduce new security vulnerabilities. In this survey, we provide a comprehensive...
Preventing Adversarial AI Attacks against Autonomous Situational Awareness: a Maritime Case Study
Adversarial artificial intelligence AI attacks pose a significant threat to autonomous transportation, such as maritime vessels, that rely on AI components. Malicious actors can exploit these systems to deceive and manipulate AI-driven operations. This paper addresses three critical research...
Revisiting Adversarial Perception Attacks and Defense Methods on Autonomous Driving Systems
Autonomous driving systems ADS increasingly rely on deep learning-based perception models, which remain vulnerable to adversarial attacks. In this paper, we revisit adversarial attacks and defense methods, focusing on road sign recognition and lead object detection and prediction e.g., relative...
D4+: Emergent Adversarial Driving Maneuvers with Approximate Functional Optimization
Intelligent mechanisms implemented in autonomous vehicles, such as proactive driving assist and collision alerts, reduce traffic accidents. However, verifying their correct functionality is difficult due to complex interactions with the environment. This problem is exacerbated in adversarial...
On the Day They Experience: Awakening Self-Sovereign Experiential AI Agents
Drawing on Andrew Parker's "Light Switch" theory-which posits that the emergence of vision ignited a Cambrian explosion of life by driving the evolution of hard parts necessary for survival and fueling an evolutionary arms race between predators and prey-this essay speculates on an analogous...
Neuromorphic Mimicry Attacks Exploiting Brain-Inspired Computing for Covert Cyber Intrusions
Neuromorphic computing, inspired by the human brain's neural architecture, is revolutionizing artificial intelligence and edge computing with its low-power, adaptive, and event-driven designs. However, these unique characteristics introduce novel cybersecurity risks. This paper proposes...
Robust and Efficient AI-Based Attack Recovery in Autonomous Drones
We introduce an autonomous attack recovery architecture to add common sense reasoning to plan a recovery action after an attack is detected. We outline use-cases of our architecture using drones, and then discuss how to implement this architecture efficiently and securely in edge devices...
