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08/24/2023
Code Llama: Open Foundation Models for Code
We release Code Llama, a family of large language models for code based ...
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07/18/2023
Llama 2: Open Foundation and Fine-Tuned Chat Models
In this work, we develop and release Llama 2, a collection of pretrained...
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06/20/2023
Data-Driven but Privacy-Conscious: Pedestrian Dataset De-identification via Full-Body Person Synthesis
The advent of data-driven technology solutions is accompanied by an incr...
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03/08/2023
The Casual Conversations v2 Dataset
This paper introduces a new large consent-driven dataset aimed at assist...
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12/09/2022
A Whac-A-Mole Dilemma: Shortcuts Come in Multiples Where Mitigating One Amplifies Others
Machine learning models have been found to learn shortcuts – unintended ...
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11/10/2022
Casual Conversations v2: Designing a large consent-driven dataset to measure algorithmic bias and robustness
Developing robust and fair AI systems require datasets with comprehensiv...
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03/31/2022
Generating High Fidelity Data from Low-density Regions using Diffusion Models
Our work focuses on addressing sample deficiency from low-density region...
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02/08/2022
Results and findings of the 2021 Image Similarity Challenge
The 2021 Image Similarity Challenge introduced a dataset to serve as a n...
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06/17/2021
The 2021 Image Similarity Dataset and Challenge
This paper introduces a new benchmark for large-scale image similarity d...
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06/17/2021
Localized Uncertainty Attacks
The susceptibility of deep learning models to adversarial perturbations ...
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04/06/2021
Towards measuring fairness in AI: the Casual Conversations dataset
This paper introduces a novel dataset to help researchers evaluate their...
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11/25/2020
Adversarial Evaluation of Multimodal Models under Realistic Gray Box Assumption
This work examines the vulnerability of multimodal (image + text) models...
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11/19/2020
Adversarial Threats to DeepFake Detection: A Practical Perspective
Facially manipulated images and videos or DeepFakes can be used maliciou...
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11/18/2020
Adversarial collision attacks on image hashing functions
Hashing images with a perceptual algorithm is a common approach to solvi...
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09/22/2020
Preserving Integrity in Online Social Networks
Online social networks provide a platform for sharing information and fr...
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06/12/2020
The DeepFake Detection Challenge Dataset
Deepfakes are a recent off-the-shelf manipulation technique that allows ...
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12/14/2019
Deep Poisoning Functions: Towards Robust Privacy-safe Image Data Sharing
As deep networks are applied to an ever-expanding set of computer vision...
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10/19/2019
The Deepfake Detection Challenge (DFDC) Preview Dataset
In this paper, we introduce a preview of the Deepfakes Detection Challen...
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10/05/2019
Hate Speech in Pixels: Detection of Offensive Memes towards Automatic Moderation
This work addresses the challenge of hate speech detection in Internet m...
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12/11/2017
Eye In-Painting with Exemplar Generative Adversarial Networks
This paper introduces a novel approach to in-painting where the identity...
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09/18/2017
Social Style Characterization from Egocentric Photo-streams
This paper proposes a system for automatic social pattern characterizati...
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09/05/2017
Towards social pattern characterization in egocentric photo-streams
Following the increasingly popular trend of social interaction analysis ...
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07/13/2017
Disentangling Motion, Foreground and Background Features in Videos
This paper introduces an unsupervised framework to extract semantically ...
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01/04/2017
SalGAN: Visual Saliency Prediction with Generative Adversarial Networks
We introduce SalGAN, a deep convolutional neural network for visual sali...
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08/03/2016
Training Deep Networks for Facial Expression Recognition with Crowd-Sourced Label Distribution
Crowd sourcing has become a widely adopted scheme to collect ground trut...
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04/26/2016