997 matches found
Roblox introduces age checks to use communication features
Roblox is an online platform that allows users to build, play and share online worlds and 3D games. Unfortunately, it’s also a popular platform among predators reaching out to kids and seducing them using game features such as messaging, avatar customization, and role-play. Over the years, the...
graph-rag-poc
Graph RAG Pipeline - Proof of Concept A locally-executable Gr...
Russia Is Cracking Down on End-to-End Encrypted Calls
Plus: ICE agents accidentally add a random person to a sensitive group chat, Norwegian intelligence blames the Kremlin for hacking a dam, and new facial recognition vans roam the UK...
VOIDFace: a Privacy-Preserving Multi-Network Face Recognition with Enhanced Security
Advancement of machine learning techniques, combined with the availability of large-scale datasets, has significantly improved the accuracy and efficiency of facial recognition. Modern facial recognition systems are trained using large face datasets collected from diverse individuals or public...
CVE-2025-55136
ERC aka Emotion Recognition in Conversation through 0.3 has insecure deserialization via a serialized object because jsonpickle is used...
CVE-2025-55136
ERC aka Emotion Recognition in Conversation through 0.3 has insecure deserialization via a serialized object because jsonpickle is used...
Emotion Recognition in Coversation 代码问题漏洞
Emotion Recognition in Coversation is an application by the individual developer Taewoon Kim. A code issue vulnerability exists in Emotion Recognition in Coversation version 0.3 and earlier, which stems from the use of jsonpickle leading to unsafe deserialization...
CVE-2025-55136
ERC aka Emotion Recognition in Conversation through 0.3 has insecure deserialization via a serialized object because jsonpickle is used...
PT-2025-32270 · Erc · Erc
Name of the Vulnerable Software and Affected Versions: ERC aka Emotion Recognition in Conversation versions through 0.3 Description: ERC aka Emotion Recognition in Conversation is susceptible to insecure deserialization due to the use of jsonpickle when handling serialized objects. Recommendation...
CVE-2025-55136
ERC (Emotion Recognition in Conversation) up to version 0.3 is affected by insecure deserialization via jsonpickle when handling serialized objects. The vulnerability arises from unsafe deserialization in the serialization path. Public mentions in Red Hat, NVD, OSV, and PT-Security records confir...
CVE-2025-55136
ERC aka Emotion Recognition in Conversation through 0.3 has insecure deserialization via a serialized object because jsonpickle is used...
SpectraSentinel: LightWeight Dual-Stream Real-Time Drone Detection, Tracking and Payload Identification
The proliferation of drones in civilian airspace has raised urgent security concerns, necessitating robust real-time surveillance systems. In response to the 2025 VIP Cup challenge tasks - drone detection, tracking, and payload identification - we propose a dual-stream drone monitoring framework...
Radio Adversarial Attacks on EMG-Based Gesture Recognition Networks
Surface electromyography EMG enables non-invasive human-computer interaction in rehabilitation, prosthetics, and virtual reality. While deep learning models achieve over 97% classification accuracy, their vulnerability to adversarial attacks remains largely unexplored in the physical domain. We...
Researchers Expose Massive Online Fake Currency Operation in India
Cybersecurity researchers at CloudSEK's STRIKE team used facial recognition and GPS data to expose a massive, over $2…...
C-AAE: Compressively Anonymizing Autoencoders for Privacy-Preserving Activity Recognition in Healthcare Sensor Streams
Wearable accelerometers and gyroscopes encode fine-grained behavioural signatures that can be exploited to re-identify users, making privacy protection essential for healthcare applications. We introduce C-AAE, a compressive anonymizing autoencoder that marries an Anonymizing AutoEncoder AAE with...
In-Context Learning of Vision Language Models for Detection of Physical and Digital Attacks against Face Recognition Systems
Recent advances in biometric systems have significantly improved the detection and prevention of fraudulent activities. However, as detection methods improve, attack techniques become increasingly sophisticated. Attacks on face recognition systems can be broadly divided into physical and digital...
Non-Adaptive Adversarial Face Generation
Adversarial attacks on face recognition systems FRSs pose serious security and privacy threats, especially when these systems are used for identity verification. In this paper, we propose a novel method for generating adversarial faces-synthetic facial images that are visually distinct yet...
HyDRA: a Hybrid Dual-Mode Network for Closed- and Open-Set RFFI with Optimized VMD
Device recognition is vital for security in wireless communication systems, particularly for applications like access control. Radio Frequency Fingerprint Identification RFFI offers a non-cryptographic solution by exploiting hardware-induced signal distortions. This paper proposes HyDRA, a Hybrid...
Congratulations to the MSRC 2025 Most Valuable Security Researchers!
The Microsoft Researcher Recognition Program offers public thanks and recognition to security researchers who help protect our customers through discovering and sharing security vulnerabilities under Coordinated Vulnerability Disclosure. Today, we are excited to recognize this year’s Most Valuabl...
