Search Results for author: Hany Farid

Found 12 papers, 1 papers with code

A Longitudinal Analysis of YouTube's Promotion of Conspiracy Videos

no code implementations6 Mar 2020 Marc Faddoul, Guillaume Chaslot, Hany Farid

Conspiracy theories have flourished on social media, raising concerns that such content is fueling the spread of disinformation, supporting extremist ideologies, and in some cases, leading to violence.

Evading Deepfake-Image Detectors with White- and Black-Box Attacks

no code implementations1 Apr 2020 Nicholas Carlini, Hany Farid

We show that such forensic classifiers are vulnerable to a range of attacks that reduce the classifier to near-0% accuracy.

Face Swapping

Detecting Deep-Fake Videos from Appearance and Behavior

no code implementations29 Apr 2020 Shruti Agarwal, Tarek El-Gaaly, Hany Farid, Ser-Nam Lim

Synthetically-generated audios and videos -- so-called deep fakes -- continue to capture the imagination of the computer-graphics and computer-vision communities.

Metric Learning

Protecting President Zelenskyy against Deep Fakes

no code implementations24 Jun 2022 Matyáš Boháček, Hany Farid

The 2022 Russian invasion of Ukraine is being fought on two fronts: a brutal ground war and a duplicitous disinformation campaign designed to conceal and justify Russia's actions.

Perspective (In)consistency of Paint by Text

no code implementations27 Jun 2022 Hany Farid

Type "a sea otter with a pearl earring by Johannes Vermeer" or "a photo of a teddy bear on a skateboard in Times Square" into OpenAI's DALL-E-2 paint-by-text synthesis engine and you will not be disappointed by the delightful and eerily pertinent results.

Lighting (In)consistency of Paint by Text

no code implementations27 Jul 2022 Hany Farid

Whereas generative adversarial networks are capable of synthesizing highly realistic images of faces, cats, landscapes, or almost any other single category, paint-by-text synthesis engines can -- from a single text prompt -- synthesize realistic images of seemingly endless categories with arbitrary configurations and combinations.

Art and the science of generative AI: A deeper dive

no code implementations7 Jun 2023 Ziv Epstein, Aaron Hertzmann, Laura Herman, Robert Mahari, Morgan R. Frank, Matthew Groh, Hope Schroeder, Amy Smith, Memo Akten, Jessica Fjeld, Hany Farid, Neil Leach, Alex Pentland, Olga Russakovsky

A new class of tools, colloquially called generative AI, can produce high-quality artistic media for visual arts, concept art, music, fiction, literature, video, and animation.

Single and Multi-Speaker Cloned Voice Detection: From Perceptual to Learned Features

1 code implementation15 Jul 2023 Sarah Barrington, Romit Barua, Gautham Koorma, Hany Farid

Synthetic-voice cloning technologies have seen significant advances in recent years, giving rise to a range of potential harms.

Voice Cloning

An Evaluation of Forensic Facial Recognition

no code implementations10 Nov 2023 Justin Norman, Shruti Agarwal, Hany Farid

Recent advances in machine learning and computer vision have led to reported facial recognition accuracies surpassing human performance.

Face Recognition

Finding AI-Generated Faces in the Wild

no code implementations14 Nov 2023 Gonzalo J. Aniano Porcile, Jack Gindi, Shivansh Mundra, James R. Verbus, Hany Farid

AI-based image generation has continued to rapidly improve, producing increasingly more realistic images with fewer obvious visual flaws.

Image Generation

Nepotistically Trained Generative-AI Models Collapse

no code implementations20 Nov 2023 Matyas Bohacek, Hany Farid

Trained on massive amounts of human-generated content, AI (artificial intelligence) image synthesis is capable of reproducing semantically coherent images that match the visual appearance of its training data.

Image Generation

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