674 citations · 1.6k across the 88 of their papers we have counts for
6 papers · 1 filter
Field-Localized Forgery Detection for Digital Identity Documents
Abhishek Kumar, Riya Tapwal, Carsten Maple +1
Digital onboarding and eKYC systems used by banks, fintech platforms, telecom providers, and other third-party services commonly verify users by comparing an uploaded identity docu…
Non-Parametric Probabilistic Robustness: A Conservative Risk Estimator under Unknown Perturbation Distributions
Zheng Wang, Yi Zhang, Siddartha Khastgir +2
Deep learning (DL) models, despite their remarkable success, remain vulnerable to small input perturbations that can cause erroneous outputs, motivating the recent proposal of prob…
PRBench: A Standardized Probabilistic Robustness Benchmark
Yi Zhang, Zheng Wang, Zhen Chen +5
Deep learning models are notoriously vulnerable to imperceptible perturbations. Most existing research centers on adversarial robustness (AR), which evaluates models under worst-ca…
Detecting Face Synthesis Using a Concealed Fusion Model
Roberto Leyva, Victor Sanchez, Gregory Epiphaniou +1
Face image synthesis is gaining more attention in computer security due to concerns about its potential negative impacts, including those related to fake biometrics. Hence, buildin…
Data-Agnostic Face Image Synthesis Detection Using Bayesian CNNs
Roberto Leyva, Victor Sanchez, Gregory Epiphaniou +1
Face image synthesis detection is considerably gaining attention because of the potential negative impact on society that this type of synthetic data brings. In this paper, we prop…
On the detection-to-track association for online multi-object tracking
Xufeng Lin, Chang-Tsun Li, Victor Sanchez +1
Driven by recent advances in object detection with deep neural networks, the tracking-by-detection paradigm has gained increasing prevalence in the research community of multi-obje…