Generating Adversarial Point Clouds Using Diffusion Model

Adversarial attack methods for 3D point cloud classification reveal the vulnerabilities of point cloud recognition models. This vulnerability could lead to safety risks in critical applications that use deep learning models, such as autonomous vehicles. To uncover the deficiencies of these models...

Removing Box-Free Watermarks for Image-To-Image Models Via Query-Based Reverse Engineering

The intellectual property of deep generative networks GNets can be protected using a cascaded hiding network HNet which embeds watermarks or marks into GNet outputs, known as box-free watermarking. Although both GNet and HNet are encapsulated in a black box called operation network, or ONet, with...

Leveraging Trustworthy AI for Automotive Security in Multi-Domain Operations: Towards a Responsive Human-AI Multi-Domain Task Force for Cyber Social Security

Multi-Domain Operations MDOs emphasize cross-domain defense against complex and synergistic threats, with civilian infrastructures like smart cities and Connected Autonomous Vehicles CAVs emerging as primary targets. As dual-use assets, CAVs are vulnerable to Multi-Surface Threats MSTs,...

Optimizing Canaries for Privacy Auditing with Metagradient Descent

In this work we study black-box privacy auditing, where the goal is to lower bound the privacy parameter of a differentially private learning algorithm using only the algorithm's outputs i.e., final trained model. For DP-SGD the most successful method for training differentially private deep...

BACFuzz: Exposing the Silence on Broken Access Control Vulnerabilities in Web Applications

Broken Access Control BAC remains one of the most critical and widespread vulnerabilities in web applications, allowing attackers to access unauthorized resources or perform privileged actions. Despite its severity, BAC is underexplored in automated testing due to key challenges: the lack of...

Attacking Interpretable NLP Systems

Studies have shown that machine learning systems are vulnerable to adversarial examples in theory and practice. Where previous attacks have focused mainly on visual models that exploit the difference between human and machine perception, text-based models have also fallen victim to these attacks...

Breaking the Illusion of Security Via Interpretation: Interpretable Vision Transformer Systems under Attack

Vision transformer ViT models, when coupled with interpretation models, are regarded as secure and challenging to deceive, making them well-suited for security-critical domains such as medical applications, autonomous vehicles, drones, and robotics. However, successful attacks on these systems ca...

PT-2026-45416

Name of the Vulnerable Software and Affected Versions GPAC Project/MP4Box versions prior to 26.02.0 Description A NULL pointer dereference exists in the gf ac4 pres b 4 back channels present function within the /media tools/av parsers.c file. This issue allows an attacker to cause a Denial of...

The vulnerability of the gf_filter_pid_inst_swap_delete_task function in the MP4Box multimedia platform GPAC allows a intruder to cause a service failure.

The vulnerability of the gffilterpidinstswapdeletetask function in the MP4Box multimedia platform GPAC utility is related to the use of memory after deallocation. Exploiting this vulnerability could allow an attacker to cause a service failure...

SUSE-SU-2025:02303-1 Security update for gstreamer-plugins-good

This update for gstreamer-plugins-good fixes the following issues: - CVE-2025-47183: Fixed out-of-bounds read when parsing mvhd box bsc1244406...

PT-2026-45415

Name of the Vulnerable Software and Affected Versions GPAC Project/MP4Box versions prior to 26.02.0 Description A NULL pointer dereference exists in the gf odf ac4 cfg dsi v1 function within the /odf/descriptors.c file. This issue allows an attacker to cause a Denial of Service DoS, which is a...

PLA: Prompt Learning Attack against Text-To-Image Generative Models

Text-to-Image T2I models have gained widespread adoption across various applications. Despite the success, the potential misuse of T2I models poses significant risks of generating Not-Safe-For-Work NSFW content. To investigate the vulnerability of T2I models, this paper delves into adversarial...

Mitigating Watermark Stealing Attacks in Generative Models Via Multi-Key Watermarking

Watermarking offers a promising solution for GenAI providers to establish the provenance of their generated content. A watermark is a hidden signal embedded in the generated content, whose presence can later be verified using a secret watermarking key. A threat to GenAI providers are \emphwaterma...

The vulnerability of the avidmx_process() function (filters/dmx_avi.c) in the MP4Box utility of the GPAC multimedia platform, which allows a hacker to execute arbitrary code or cause a service failure.

The vulnerability of the avidmxprocess function filters/dmxavi.c in the MP4Box utility of the GPAC multimedia platform is related to the lack of checks for division by zero when processing the numframes parameter for AVI files. Exploiting this vulnerability could allow an attacker to execute...

When There Is No Decoder: Removing Watermarks from Stable Diffusion Models in a No-Box Setting

Watermarking has emerged as a promising solution to counter harmful or deceptive AI-generated content by embedding hidden identifiers that trace content origins. However, the robustness of current watermarking techniques is still largely unexplored, raising critical questions about their...

Hostel Management System allocated_rooms.php File SQL Injection Vulnerability

Hostel Management System is a hostel management system. Hostel Management System suffers from a SQL injection vulnerability that stems from the lack of validation of externally entered SQL statements in the parameter searchbox in the file /allocatedrooms.php. An attacker can use this vulnerabilit...

Hostel Management System empty_rooms.php File SQL Injection Vulnerability

Hostel Management System is a hostel management system. Hostel Management System suffers from a SQL injection vulnerability that stems from the lack of validation of externally entered SQL statements in the parameter searchbox in the file /emptyrooms.php. An attacker can use this vulnerability to...

Boosting Generative Adversarial Transferability with Self-Supervised Vision Transformer Features

The ability of deep neural networks DNNs come from extracting and interpreting features from the data provided. By exploiting intermediate features in DNNs instead of relying on hard labels, we craft adversarial perturbation that generalize more effectively, boosting black-box transferability...

On the Feasibility of Poisoning Text-To-Image AI Models Via Adversarial Mislabeling

Today's text-to-image generative models are trained on millions of images sourced from the Internet, each paired with a detailed caption produced by Vision-Language Models VLMs. This part of the training pipeline is critical for supplying the models with large volumes of high-quality image-captio...

Vulnerability Disclosure through Adaptive Black-Box Adversarial Attacks on NIDS

Adversarial attacks, wherein slight inputs are carefully crafted to mislead intelligent models, have attracted increasing attention. However, a critical gap persists between theoretical advancements and practical application, particularly in structured data like network traffic, where...