Search Results for author: Brian Dolhansky

Found 8 papers, 2 papers with code

Adversarial Evaluation of Multimodal Models under Realistic Gray Box Assumption

no code implementations25 Nov 2020 Ivan Evtimov, Russel Howes, Brian Dolhansky, Hamed Firooz, Cristian Canton Ferrer

This work examines the vulnerability of multimodal (image + text) models to adversarial threats similar to those discussed in previous literature on unimodal (image- or text-only) models.

General Classification Text Augmentation

Adversarial Threats to DeepFake Detection: A Practical Perspective

no code implementations19 Nov 2020 Paarth Neekhara, Brian Dolhansky, Joanna Bitton, Cristian Canton Ferrer

We perform our evaluations on the winning entries of the DeepFake Detection Challenge (DFDC) and demonstrate that they can be easily bypassed in a practical attack scenario by designing transferable and accessible adversarial attacks.

DeepFake Detection Face Swapping +1

Adversarial collision attacks on image hashing functions

no code implementations18 Nov 2020 Brian Dolhansky, Cristian Canton Ferrer

Hashing images with a perceptual algorithm is a common approach to solving duplicate image detection problems.

The DeepFake Detection Challenge (DFDC) Dataset

7 code implementations12 Jun 2020 Brian Dolhansky, Joanna Bitton, Ben Pflaum, Jikuo Lu, Russ Howes, Menglin Wang, Cristian Canton Ferrer

In addition to Deepfakes, a variety of GAN-based face swapping methods have also been published with accompanying code.

DeepFake Detection Face Swapping

Deep Poisoning: Towards Robust Image Data Sharing against Visual Disclosure

no code implementations14 Dec 2019 Hao Guo, Brian Dolhansky, Eric Hsin, Phong Dinh, Cristian Canton Ferrer, Song Wang

Due to respectively limited training data, different entities addressing the same vision task based on certain sensitive images may not train a robust deep network.

Face Recognition Image Classification

The Deepfake Detection Challenge (DFDC) Preview Dataset

no code implementations19 Oct 2019 Brian Dolhansky, Russ Howes, Ben Pflaum, Nicole Baram, Cristian Canton Ferrer

In this paper, we introduce a preview of the Deepfakes Detection Challenge (DFDC) dataset consisting of 5K videos featuring two facial modification algorithms.

DeepFake Detection Face Swapping

Eye In-Painting with Exemplar Generative Adversarial Networks

2 code implementations CVPR 2018 Brian Dolhansky, Cristian Canton Ferrer

This paper introduces a novel approach to in-painting where the identity of the object to remove or change is preserved and accounted for at inference time: Exemplar GANs (ExGANs).


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