awesome-real-world-adversarial-examples
😎 A curated list of awesome real-world adversarial examples resources
https://github.com/lionelmessi6410/awesome-real-world-adversarial-examples
Last synced: 3 days ago
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ToolBox
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Defense
- DoPa: A Comprehensive CNN Detection Methodology against Physical Adversarial Attacks
- Connecting the Digital and Physical World: Improving the Robustness of Adversarial Attacks
- Certified Defenses for Adversarial Patches - C/certifiedpatchdefense)]
- (De)Randomized Smoothing for Certifiable Defense against Patch Attacks
- Defending against Physically Realizable Attacks on Image Classification
- Universal Adversarial Training
- Minority Reports Defense: Defending Against Adversarial Patches
- PatchGuard: Provable Defense against Adversarial Patches Using Masks on Small Receptive Fields - group/PatchGuard)]
- Adversarial Training against Location-Optimized Adversarial Patches
- On Visible Adversarial Perturbations & Digital Watermarking
- Local Gradients Smoothing: Defense against localized adversarial attacks
- Clipped BagNet: Defending Against Sticker Attacks with Clipped Bag-of-features
- Role of Spatial Context in Adversarial Robustness for Object Detection - Adversarial-Patches)]
- Information Distribution Based Defense Against Physical Attacks on Object Detection
- DoPa: A Comprehensive CNN Detection Methodology against Physical Adversarial Attacks
- (De)Randomized Smoothing for Certifiable Defense against Patch Attacks
- Minority Reports Defense: Defending Against Adversarial Patches
- Adversarial Training against Location-Optimized Adversarial Patches
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Detection
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Attack
- Adversarial Patch
- Adversarial Examples in the Physical World
- Robust Physical-World Attacks on Machine Learning Models
- Robust Physical-World Attacks on Deep Learning Visual Classification
- LaVAN: Localized and Visible Adversarial Noise
- Synthesizing Robust Adversarial Examples
- DARTS: Deceiving Autonomous Cars with Toxic Signs
- Adversarial camera stickers: A physical camera-based attack on deep learning systems
- Adversarial Attacks Beyond the Image Space
- Simple Physical Adversarial Examples against End-to-End Autonomous Driving Models
- Perceptual-Sensitive GAN for Generating Adversarial Patches
- Adversarial Camouflage: Hiding Physical-World Attacks with Natural Styles
- AdvHat: Real-world adversarial attack on ArcFace Face ID system
- ShapeShifter: Robust Physical Adversarial Attack on Faster R-CNN Object Detector - PKDD 2018. [[code](https://github.com/shangtse/robust-physical-attack)]
- Physical Adversarial Examples for Object Detectors
- Fooling automated surveillance cameras: adversarial patches to attack person detection
- DPATCH: An Adversarial Patch Attack on Object Detectors
- On Physical Adversarial Patches for Object Detection
- CAMOU: Learning Physical Vehicle Camouflages to Adversarially Attack Detectors in the Wild
- Making an Invisibility Cloak: Real World Adversarial Attacks on Object Detectors
- Adversarial T-shirt! Evading Person Detectors in A Physical World - real-time-person-detectors-by-adversarial-t-shirt-8e0149e97e5a)]
- Design and Interpretation of Universal Adversarial Patches in Face Detection
- Physical Adversarial Textures That Fool Visual Object Tracking
- Adversarial Patch
- DPATCH: An Adversarial Patch Attack on Object Detectors
- DARTS: Deceiving Autonomous Cars with Toxic Signs
- Adversarial Examples in the Physical World
- On Physical Adversarial Patches for Object Detection
- Making an Invisibility Cloak: Real World Adversarial Attacks on Object Detectors
- Perceptual-Sensitive GAN for Generating Adversarial Patches
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