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Real-World Adversarial Attack
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Adversarial attacks that are presented in the real world
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
To Generate or Not? Safety-Driven Unlearned Diffusion Models Are Still Easy To Generate Unsafe Images ... For Now
PatchBackdoor: Backdoor Attack against Deep Neural Networks without Model Modification
Kidnapping Deep Learning-based Multirotors using Optimized Flying Adversarial Patches
Simultaneously Optimizing Perturbations and Positions for Black-box Adversarial Patch Attacks
Ignore Previous Prompt: Attack Techniques For Language Models
DTA: Physical Camouflage Attacks using Differentiable Transformation Network
Segment and Complete: Defending Object Detectors against Adversarial Patch Attacks with Robust Patch Detection
Adversarial Mask: Real-World Universal Adversarial Attack on Face Recognition Model
Attack on practical speaker verification system using universal adversarial perturbations
Enhancing Real-World Adversarial Patches through 3D Modeling of Complex Target Scenes
Taking Over the Stock Market: Adversarial Perturbations Against Algorithmic Traders
Adversarial Music: Real World Audio Adversary Against Wake-word Detection System
Real-world adversarial attack on MTCNN face detection system
AdvHat: Real-world adversarial attack on ArcFace Face ID system
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.