Brian Dolhansky

According to our database, Brian Dolhansky authored at least 12 papers between 2012 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

Towards Measuring Fairness in AI: The Casual Conversations Dataset.

Caner Hazirbas, Joanna Bitton, Brian Dolhansky, Jacqueline Pan, Albert Gordo, Cristian Canton-Ferrer

IEEE Trans. Biom. Behav. Identity Sci., 2022

2021

Deep Poisoning: Towards Robust Image Data Sharing against Visual Disclosure.

Hao Guo, Brian Dolhansky, Eric Hsin, Phong Dinh, Cristian Canton-Ferrer, Song Wang

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Adversarial Threats to DeepFake Detection: A Practical Perspective.

Paarth Neekhara, Brian Dolhansky, Joanna Bitton, Cristian Canton-Ferrer

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

Casual Conversations: A Dataset for Measuring Fairness in AI.

Caner Hazirbas, Joanna Bitton, Brian Dolhansky, Jacqueline Pan, Albert Gordo, Cristian Canton-Ferrer

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2020

Adversarial Evaluation of Multimodal Models under Realistic Gray Box Assumption.

Ivan Evtimov, Russ Howes, Brian Dolhansky, Hamed Firooz, Cristian Canton-Ferrer

CoRR, 2020

Adversarial collision attacks on image hashing functions.

Brian Dolhansky, Cristian Canton-Ferrer

CoRR, 2020

The DeepFake Detection Challenge Dataset.

Brian Dolhansky, Joanna Bitton, Ben Pflaum, Jikuo Lu, Russ Howes, Menglin Wang, Cristian Canton-Ferrer

CoRR, 2020

2019

Deep Poisoning Functions: Towards Robust Privacy-safe Image Data Sharing.

Hao Guo, Brian Dolhansky, Eric Hsin, Phong Dinh, Song Wang, Cristian Canton-Ferrer

CoRR, 2019

The Deepfake Detection Challenge (DFDC) Preview Dataset.

Brian Dolhansky, Russ Howes, Ben Pflaum, Nicole Baram, Cristian Canton-Ferrer

CoRR, 2019

2018

Eye In-Painting With Exemplar Generative Adversarial Networks.

Brian Dolhansky, Cristian Canton-Ferrer

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2016

Deep Submodular Functions: Definitions and Learning.

Brian W. Dolhansky, Jeff A. Bilmes

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

2012

Analyzing the Perceptual Salience of Audio Features for Musical Emotion Recognition.

Erik M. Schmidt, Matthew Prockup, Jeffrey J. Scott, Brian Dolhansky, Brandon G. Morton, Youngmoo E. Kim

Proceedings of the From Sounds to Music and Emotions - 9th International Symposium, 2012