Jailbreaking LLMs and VLMs: Mechanisms, Evaluation, and Unified Defense

This paper provides a systematic survey of jailbreak attacks and defenses on Large Language Models LLMs and Vision-Language Models VLMs, emphasizing that jailbreak vulnerabilities stem from structural factors such as incomplete training data, linguistic ambiguity, and generative uncertainty. It...

AI-Driven Cybersecurity Threats: A Survey of Emerging Risks and Defensive Strategies

Artificial Intelligence's dual-use nature is revolutionizing the cybersecurity landscape, introducing new threats across four main categories: deepfakes and synthetic media, adversarial AI attacks, automated malware, and AI-powered social engineering. This paper aims to analyze emerging risks,...

The State of Cybersecurity in 2025: Key Segments, Insights, and Innovations 

Featuring: Cybersecurity is being reshaped by forces that extend beyond individual threats or tools. As organizations operate across cloud infrastructure, distributed endpoints, and complex supply chains, security has shifted from a collection of point solutions to a question of architecture,...

Autonomous Threat Detection and Response in Cloud Security: A Comprehensive Survey of AI-Driven Strategies

Cloud computing has changed online communities in three dimensions, which are scalability, adaptability and reduced overhead. But there are serious security concerns which are brought about by its distributed and multi-tenant characteristics. The old methods of detecting and reacting to threats...

Pervasive Vulnerability Analysis and Defense for QKD-Based Quantum Private Query

Quantum Private Query QPQ based on Quantum Key Distribution QKD is among the most practically viable quantum communication protocols, with application value second only to QKD itself. However, prevalent security vulnerabilities in the post-processing stages of most existing QKD-based QPQ protocol...

Security in the Era of Perceptive Networks: A Comprehensive Taxonomic Framework for Integrated Sensing and Communication Security

Integrated Sensing and Communication ISAC represents a significant shift in the 6G landscape, where wireless networks both sense the environment and communicate. While prior comprehensive surveys have established foundational elements of ISAC security, discussed perception-focused security models...

SQLi_AI_defence

SQLiAIdefence A small model ba...

Rectifying Adversarial Examples Using Their Vulnerabilities

Deep neural network-based classifiers are prone to errors when processing adversarial examples AEs. AEs are minimally perturbed input data undetectable to humans posing significant risks to security-dependent applications. Hence, extensive research has been undertaken to develop defense mechanism...

WHILL Model C2 Electric Wheelchairs and Model F Power Chairs (Update B)

RISK EVALUATION Successful exploitation of this vulnerability could allow an attacker within Bluetooth range to take control over the product. 2. RECOMMENDED PRACTICES CISA recommends users take defensive measures to minimize the risk of exploitation of this vulnerability, such as: Minimize...

Training-Free Color-Aware Adversarial Diffusion Sanitization for Diffusion Stegomalware Defense at Security Gateways

The rapid expansion of generative AI has normalized large-scale synthetic media creation, enabling new forms of covert communication. Recent generative steganography methods, particularly those based on diffusion models, can embed high-capacity payloads without fine-tuning or auxiliary decoders,...

Agentic AI for Autonomous Defense in Software Supply Chain Security: Beyond Provenance to Vulnerability Mitigation

The software supply chain attacks are becoming more and more focused on trusted development and delivery procedures, so the conventional post-build integrity mechanisms cannot be used anymore. The available frameworks like SLSA, SBOM and in toto are majorly used to offer provenance and traceabili...

CVE-2025-14490

RealDefense SUPERAntiSpyware Exposed Dangerous Function Local Privilege Escalation Vulnerability. This vulnerability allows local attackers to escalate privileges on affected installations of RealDefense SUPERAntiSpyware. An attacker must first obtain the ability to execute low-privileged code on...

LLM-Driven Feature-Level Adversarial Attacks on Android Malware Detectors

The rapid growth in both the scale and complexity of Android malware has driven the widespread adoption of machine learning ML techniques for scalable and accurate malware detection. Despite their effectiveness, these models remain vulnerable to adversarial attacks that introduce carefully crafte...

CVE-2025-14488

RealDefense SUPERAntiSpyware Exposed Dangerous Function Local Privilege Escalation Vulnerability. This vulnerability allows local attackers to escalate privileges on affected installations of RealDefense SUPERAntiSpyware. An attacker must first obtain the ability to execute low-privileged code on...

CVE-2025-14497

RealDefense SUPERAntiSpyware is affected. The issue resides in the SAS Core Service, stemming from an exposed dangerous function that enables local privilege escalation to SYSTEM when an attacker can execute low-privileged code. Multiple sources corroborate the vulnerability, including ZDI adviso...

6DAttack: Backdoor Attacks in the 6DoF Pose Estimation

Deep learning advances have enabled accurate six-degree-of-freedom 6DoF object pose estimation, widely used in robotics, AR/VR, and autonomous systems. However, backdoor attacks pose significant security risks. While most research focuses on 2D vision, 6DoF pose estimation remains largely...

DREAM: Dynamic Red-Teaming across Environments for AI Models

Large Language Models LLMs are increasingly used in agentic systems, where their interactions with diverse tools and environments create complex, multi-stage safety challenges. However, existing benchmarks mostly rely on static, single-turn assessments that miss vulnerabilities from adaptive,...

DeepGuard: Defending Deep Joint Source-Channel Coding against Eavesdropping at Physical-Layer

Deep joint source-channel coding DeepJSCC has emerged as a promising paradigm for efficient and robust information transmission. However, its intrinsic characteristics also pose new security challenges, notably an increased vulnerability to eavesdropping attacks. Existing studies on defending...

RealDefense SUPERAntiSpyware Exposed Dangerous Function Local Privilege Escalation Vulnerability

This vulnerability allows local attackers to escalate privileges on affected installations of RealDefense SUPERAntiSpyware. An attacker must first obtain the ability to execute low-privileged code on the target system in order to exploit this vulnerability. The specific flaw exists within the SAS...

New Microsoft e-book: 3 reasons point solutions are holding you back

While patchwork tools slow defenders down and impact visibility into potential cyberthreats, they’re an unfortunate reality for many organizations. As digital risk accelerates and attack surfaces multiply, security leaders are doing their best to stitch together point solutions while trying to...