Adversarial Fashion Sartorial Hacking -

### Garment Design as a Countermeasure to Automated Surveillance At 00:00, security researcher and fashion designer Kate Rose introduces Adversarial Fashion at the Crypto and Privacy Village, demonstrating how apparel design can subvert automated visual surveillance systems. Rose explores how computer vision networks can be tricked using wearable physical patterns.

### Mechanics of Automated License Plate Readers (ALPRs) At 13:21, Rose examines municipal surveillance architectures powered by Automated License Plate Readers (ALPRs). She details how camera networks deploy optical character recognition (OCR) and object detection models (such as YOLO) to log vehicle locations across public streets, building massive geolocation databases.

### Printing Adversarial Patterns onto Textiles At 25:14, the presentation details the creation of adversarial fabrics. By designing textile prints covered in synthetic license plate patterns that match state-level fonts and aspect ratios, the garments trigger ALPR detection algorithms, injecting junk location readings into surveillance databases to degrade tracking accuracy.

### Optical Confusion: Retroreflective and High-Contrast Materials At 36:56, Rose discusses sartorial hacking techniques. She demonstrates how high-contrast geometric prints and infrared-reflective fabrics disrupt bounding-box detection, preventing facial recognition and pedestrian classification algorithms from properly framing subjects.

### Wearable Activism and Open-Source Counter-Surveillance Concluding between 42:00 and 49:44, Rose advocates for open-source adversarial fashion. She encourages developers and designers to publish wearable patterns that democratize counter-surveillance tools, empowering citizens to push back against ubiquitous physical tracking.

(AI summary — Gemini Flash)