Ruse

Ruse Mobile camera-based application that attempts to alter photos to preserve their utility to humans while making them unusable for facial recognition systems. Installation 1 Easy Method: Wait and download app from appropriate app store. 2 Download and run ios app via XCode see Development setu...

OpenAttack

Documentation • Features & Uses • Usage Examples • Attack Models • Toolkit Design OpenAttack is an open-source Python-based textual adversarial attack toolkit, which handles the whole process of textual adversarial attacking, including preprocessing text, accessing the victim model, generating...

Anti-Tamper-Perturbation

🛡️ Protección Anti-Manipulación para la Generación no Autorizada de Imágenes Individuales Código Oficial para el Artículo de ICCV 2025 📄 Protección Anti-Manipulación para la Generación no Autorizada de Imágenes Individuales ⚙️ Configuración del Entorno root@kitploit: conda create --name ATP --file...

PYSEC-2026-1403 ReDoS in giskard's transformation.py (GHSL-2024-324)

ReDoS in Giskard text perturbation detector A Remote Code Execution ReDoS vulnerability was discovered in Giskard component by the GitHub Security Lab team. When processing datasets with specific text patterns with Giskard detectors, this vulnerability could trigger exponential regex evaluation...

DarkLLM: Learning Language-Driven Adversarial Attacks with Large Language Models

While vision and multimodal foundation models underpin critical tasks from perception to complex reasoning, they remain highly vulnerable to adversarial attacks. However, traditional adversarial attacks are typically limited to single, predefined objectives, tightly coupling each attack to a...

ID-Eraser: Proactive Defense against Face Swapping Via Identity Perturbation

Deepfake technologies have rapidly advanced with modern generative AI, and face swapping in particular poses serious threats to privacy and digital security. Existing proactive defenses mostly rely on pixel-level perturbations, which are ineffective against contemporary swapping models that extra...

Jailbreaking the Matrix: Nullspace Steering for Controlled Model Subversion

Large language models remain vulnerable to jailbreak attacks -- inputs designed to bypass safety mechanisms and elicit harmful responses -- despite advances in alignment and instruction tuning. We propose Head-Masked Nullspace Steering HMNS, a circuit-level intervention that i identifies attentio...

RPP: A Certified Poisoned-Sample Detection Framework for Backdoor Attacks under Dataset Imbalance

Deep neural networks are highly susceptible to backdoor attacks, yet most defense methods to date rely on balanced data, overlooking the pervasive class imbalance in real-world scenarios that can amplify backdoor threats. This paper presents the first in-depth investigation of how the dataset...

Real-World Adversarial Attacks on RF-Based Drone Detectors

Radio frequency RF based systems are increasingly used to detect drones by analyzing their RF signal patterns, converting them into spectrogram images which are processed by object detection models. Existing RF attacks against image based models alter digital features, making over-the-air OTA...

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...

Behavior-Aware and Generalizable Defense against Black-Box Adversarial Attacks for ML-Based IDS

Machine learning based intrusion detection systems are increasingly targeted by black box adversarial attacks, where attackers craft evasive inputs using indirect feedback such as binary outputs or behavioral signals like response time and resource usage. While several defenses have been proposed...

A Novel and Practical Universal Adversarial Perturbations against Deep Reinforcement Learning Based Intrusion Detection Systems

Intrusion Detection Systems IDS play a vital role in defending modern cyber physical systems against increasingly sophisticated cyber threats. Deep Reinforcement Learning-based IDS, have shown promise due to their adaptive and generalization capabilities. However, recent studies reveal their...

SoK: Security Evaluation of Wi-Fi CSI Biometrics: Attacks, Metrics, and Systemic Weaknesses

Wi-Fi Channel State Information CSI has been repeatedly proposed as a biometric modality, often with reports of high accuracy and operational feasibility. However, the field lacks a consolidated understanding of its security properties, adversarial resilience, and methodological consistency. This...

EUVD-2025-180167

Malicious code in axios-neutrino-fomalhaut-perturbation npm...

EUVD-2025-179661

Malicious code in comet-perturbation-testcafe-astrobiology npm...

EUVD-2025-179671

Malicious code in comet-areology-exobiology-perturbation npm...

EUVD-2025-176709

Malicious code in release-it-materialize-quasarjet-perturbation npm...

EUVD-2025-177242

Malicious code in perturbation-coronalmassejection-terser-ganymede npm...

EUVD-2025-177241

Malicious code in perturbation-css-loader-loopback-uninstall npm...

Malicious code in perturbation-stratigraphy-eslint-plugin-fusion (npm)

--- -= Per source details. Do not edit below this line.=- Source: amazon-inspector 072bd973cd0a6588ccee9353a969cc2ce090a9237b49a6635e495b5aef071c8d This package appears to be part of the tea.xyz token reward campaign that flooded npm. These packages typically contain autopublish scripts auto.js,...