110 matches found
Anti-Tamper-Perturbation
🛡️ 無許可の個人画像生成に対する改ざん防止保護 ICCV 2025 論文の公式コード 📄 無許可の個人画像生成に対する改ざん防止保護 ⚙️ 環境構築 root@kitploit: conda create --name ATP --file requirements.txt conda activate ATP 🔐 ATPの起動 1. データセット CelebA-HQ と VGGFace2 をダウンロードします。データセットへのリンクは CelebA-HQ、VGGFace2 から入手できます。認証モデルのトレーニングには、FFHQ もダウンロードする必要があります。 2. 認証モデルの重み...
OpenAttack
ドキュメント • 機能と用途 • 使用例 • 攻撃モデル • ツールキット設計 OpenAttack は、オープンソースの Python ベースのテキスト対向攻撃ツールキットであり、テキストの前処理、被害者モデルへのアクセス、対向例の生成、評価を含むテキスト対向攻撃の全プロセスを処理します。 機能と用途 OpenAttack には以下の機能があります: ⭐️ すべての攻撃タイプをサポート. OpenAttack は、文/単語/文字レベルの摂動と勾配ベース/スコアベース/判断ベース/ブラインド攻撃モデルを含むすべてのタイプの攻撃をサポートします; ⭐️ 多言語対応. OpenAttack...
Ruse
Ruse 모바일 카메라 기반 애플리케이션으로, 사진을 변경하여 사람에게는 유용성을 유지하면서 얼굴 인식 시스템에는 사용할 수 없도록 만드는 것을 목표로 합니다. 설치 1 쉬운 방법: 해당 앱 스토어에서 앱을 다운로드하여 기다립니다. 2 XCode를 통해 iOS 앱을 다운로드하여 실행합니다 자세한 내용은 개발 환경 설정 참조 사용 예제 앱은 카메라 기반으로 개발되었으며, 새로 촬영한 사진이나 카메라 롤에 있는 기존 사진의 얼굴을 수정하여 소셜 미디어 및 인간이 소비하기에는 유용하게 유지하면서도 얼굴 인식 시스템이 정확하고 효과적...
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-2025-177239
Malicious code in perturbation-stratigraphy-eslint-plugin-fusion npm...
EUVD-2025-177240
Malicious code in perturbation-nextjs-singularity-gravitationalwave npm...
EUVD-2025-178018
Malicious code in loop-cosmos-perturbation-andromeda npm...
EUVD-2025-179671
Malicious code in comet-areology-exobiology-perturbation npm...
EUVD-2025-177238
Malicious code in perturbation-technosignature-pino-cosmicsilence npm...