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07/26/2023
Large-scale Fully-Unsupervised Re-Identification
Fully-unsupervised Person and Vehicle Re-Identification have received in...
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02/11/2023
DaliID: Distortion-Adaptive Learned Invariance for Identification Models
In unconstrained scenarios, face recognition and person re-identificatio...
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01/19/2022
Enhanced Performance of Pre-Trained Networks by Matched Augmentation Distributions
There exists a distribution discrepancy between training and testing, in...
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12/07/2021
Blockchain Synchronous Trust Consensus Model
This work introduces a novel approach for the governance of a blockchain...
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02/15/2021
Self-Supervised Features Improve Open-World Learning
This is a position paper that addresses the problem of Open-World learni...
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11/25/2020
Open-World Learning Without Labels
Open-world learning is a problem where an autonomous agent detects thing...
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11/11/2020
Automatic Open-World Reliability Assessment
Image classification in the open-world must handle out-of-distribution (...
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04/17/2020
Adversarial Attack on Deep Learning-Based Splice Localization
Regarding image forensics, researchers have proposed various approaches ...
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08/11/2019
To Beta or Not To Beta: Information Bottleneck for DigitaL Image Forensics
We consider an information theoretic approach to address the problem of ...
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08/07/2019
Improved Adversarial Robustness by Reducing Open Space Risk via Tent Activations
Adversarial examples contain small perturbations that can remain imperce...
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06/27/2019
SpliceRadar: A Learned Method For Blind Image Forensics
Detection and localization of image manipulations like splices are gaini...
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11/09/2018
Reducing Network Agnostophobia
Agnostophobia, the fear of the unknown, can be experienced by deep learn...
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01/04/2018
Facial Attributes: Accuracy and Adversarial Robustness
Facial attributes, emerging soft biometrics, must be automatically and r...
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08/23/2017
The Unconstrained Ear Recognition Challenge
In this paper we present the results of the Unconstrained Ear Recognitio...
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08/08/2017
Unconstrained Face Detection and Open-Set Face Recognition Challenge
Face detection and recognition benchmarks have shifted toward more diffi...
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08/05/2017
Adversarial Robustness: Softmax versus Openmax
Deep neural networks (DNNs) provide state-of-the-art results on various ...
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05/03/2017
Toward Open-Set Face Recognition
Much research has been conducted on both face identification and face ve...
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12/01/2016
Towards Robust Deep Neural Networks with BANG
Machine learning models, including state-of-the-art deep neural networks...
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11/18/2016
LOTS about Attacking Deep Features
Deep neural networks provide state-of-the-art performance on various tas...
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11/18/2016
AFFACT - Alignment-Free Facial Attribute Classification Technique
Facial attributes are soft-biometrics that allow limiting the search spa...
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10/21/2016
Automated Big Text Security Classification
In recent years, traditional cybersecurity safeguards have proven ineffe...
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10/14/2016
Are Accuracy and Robustness Correlated?
Machine learning models are vulnerable to adversarial examples formed by...
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10/13/2016
Assessing Threat of Adversarial Examples on Deep Neural Networks
Deep neural networks are facing a potential security threat from adversa...
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06/13/2016
Specialized Support Vector Machines for open-set recognition
Often, when dealing with real-world recognition problems, we do not need...
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03/19/2016
A Survey of Stealth Malware: Attacks, Mitigation Measures, and Steps Toward Autonomous Open World Solutions
As our professional, social, and financial existences become increasingl...
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03/27/2013
Pruning Bayesian Networks for Efficient Computation
This paper analyzes the circumstances under which Bayesian networks can ...
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11/30/2012
