Subverting Fair Image Search with Generative Adversarial Perturbations

Subverting Fair Image Search with Generative Adversarial Perturbations

Explore the intricacies of manipulating fair image search algorithms through generative adversarial perturbations in this 15-minute conference talk presented at an Association for Computing Machinery (ACM) event. Delve into the concepts of fair ranking and intentional bias as speakers Avijit Ghosh, Matthew Jagielski, and Christo Wilson guide you through their innovative methods and experiments. Gain insights into the potential vulnerabilities of fair image search systems and understand the implications of their groundbreaking results in this thought-provoking presentation on the intersection of artificial intelligence, fairness, and image search technology.