PRIV06
* *Privacy Research in Vision
* Cancellable Biometrics and Multispace Random Projections
* Model-Based Face De-Identification
* Privacy and Security Issues Related to Match Scores
* Scrambling for Video Surveillance with Privacy
* Securing Fingerprint Template: Fuzzy Vault with Helper Data
PRIV17
* *Bright and Dark Sides of Computer Vision: Challenges and Opportunities for Privacy and Security, The
* ASePPI: Robust Privacy Protection Against De-Anonymization Attacks
* Assisting Users in a World Full of Cameras: A Privacy-Aware Infrastructure for Computer Vision Applications
* Blur vs. Block: Investigating the Effectiveness of Privacy-Enhancing Obfuscation for Images
* Cartooning for Enhanced Privacy in Lifelogging and Streaming Videos
* Caught Red-Handed: Toward Practical Video-Based Subsequences Matching in the Presence of Real-World Transformations
* Deceiving Google's Cloud Video Intelligence API Built for Summarizing Videos
* Designing a Moral Compass for the Future of Computer Vision Using Speculative Analysis
* I Know That Person: Generative Full Body and Face De-identification of People in Images
* Information Hiding in RGB Images Using an Improved Matrix Pattern Approach
* Protecting Visual Secrets Using Adversarial Nets
* Simple Black-Box Adversarial Attacks on Deep Neural Networks
* Teaching Computer Vision and Its Societal Effects: A Look at Privacy and Security Issues from the Students' Perspective
* Trusting the Computer in Computer Vision: A Privacy-Affirming Framework
14 for PRIV17
PRIV18
* *Bright and Dark Sides of Computer Vision: Challenges and Opportunities for Privacy and Security, The
* Convolutional Neural Networks for Iris Presentation Attack Detection: Toward Cross-Dataset and Cross-Sensor Generalization
* Discrete Cosine Transform Residual Feature Based Filtering Forgery and Splicing Detection in JPEG Images
* Forgery Detection in 3D-Sensor Images
* Human Perceptions of Sensitive Content in Photos
* On the Suitability of Lp-Norms for Creating and Preventing Adversarial Examples
* On Visible Adversarial Perturbations & Digital Watermarking
* Privacy-Preserving Indoor Localization via Active Scene Illumination
* Semantic Adversarial Examples
* VGAN-Based Image Representation Learning for Privacy-Preserving Facial Expression Recognition
10 for PRIV18