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20162022
most citedSpatiotemporal Recurrent Convolutional Networks for Recognizing Spontaneous Micro-expressions

17 citations · 22 across the 5 of their papers we have counts for

collaborators

8 papers

cs.GT2022

Stateful Detection of Adversarial Reprogramming

Yang Zheng, Xiaoyi Feng, Zhaoqiang Xia +5

Adversarial reprogramming allows stealing computational resources by repurposing machine learning models to perform a different task chosen by the attacker. For example, a model tr…

cs.CV2020

Are spoofs from latent fingerprints a real threat for the best state-of-art liveness detectors?

Roberto Casula, Giulia Orrù, Daniele Angioni +3

We investigated the threat level of realistic attacks using latent fingerprints against sensors equipped with state-of-art liveness detectors and fingerprint verification systems w…

cs.CV2019

Deep Neural Rejection against Adversarial Examples

Angelo Sotgiu, Ambra Demontis, Marco Melis +4

Despite the impressive performances reported by deep neural networks in different application domains, they remain largely vulnerable to adversarial examples, i.e., input samples t…

cs.CV20192 cited

Audio-Visual Kinship Verification

Xiaoting Wu, Eric Granger, Xiaoyi Feng

Visual kinship verification entails confirming whether or not two individuals in a given pair of images or videos share a hypothesized kin relation. As a generalized face verificat…

cs.CV20193 cited

3D Face Mask Presentation Attack Detection Based on Intrinsic Image Analysis

Lei Li, Zhaoqiang Xia, Xiaoyue Jiang +3

Face presentation attacks have become a major threat to face recognition systems and many countermeasures have been proposed in the past decade. However, most of them are devoted t…

cs.CV201917 cited

Spatiotemporal Recurrent Convolutional Networks for Recognizing Spontaneous Micro-expressions

Zhaoqiang Xia, Xiaopeng Hong, Xingyu Gao +2

Recently, the recognition task of spontaneous facial micro-expressions has attracted much attention with its various real-world applications. Plenty of handcrafted or learned featu…