91 citations · 296 across the 23 of their papers we have counts for
6 papers · 1 filter
Identification of Attack-Specific Signatures in Adversarial Examples
Hossein Souri, Pirazh Khorramshahi, Chun Pong Lau +2
The adversarial attack literature contains a myriad of algorithms for crafting perturbations which yield pathological behavior in neural networks. In many cases, multiple algorithm…
LR-to-HR Face Hallucination with an Adversarial Progressive Attribute-Induced Network
Nitin Balachandran, Jun-Cheng Chen, Rama Chellappa
Face super-resolution is a challenging and highly ill-posed problem since a low-resolution (LR) face image may correspond to multiple high-resolution (HR) ones during the hallucina…
Finding Facial Forgery Artifacts with Parts-Based Detectors
Steven Schwarcz, Rama Chellappa
Manipulated videos, especially those where the identity of an individual has been modified using deep neural networks, are becoming an increasingly relevant threat in the modern da…
PASS: Protected Attribute Suppression System for Mitigating Bias in Face Recognition
Prithviraj Dhar, Joshua Gleason, Aniket Roy +2
Face recognition networks encode information about sensitive attributes while being trained for identity classification. Such encoding has two major issues: (a) it makes the face r…
To Boost or not to Boost: On the Limits of Boosted Neural Networks
Sai Saketh Rambhatla, Michael Jones, Rama Chellappa
Boosting is a method for finding a highly accurate hypothesis by linearly combining many ``weak" hypotheses, each of which may be only moderately accurate. Thus, boosting is a meth…
Unsupervised Super-Resolution of Satellite Imagery for High Fidelity Material Label Transfer
Arthita Ghosh, Max Ehrlich, Larry Davis +1
Urban material recognition in remote sensing imagery is a highly relevant, yet extremely challenging problem due to the difficulty of obtaining human annotations, especially on low…