activity
20172023
most citedNEXT: A Neural Network Framework for Next POI Recommendation

60 citations · 131 across the 10 of their papers we have counts for

collaborators

10 papers

cs.CV2023★ 5 cited

Universal Defensive Underpainting Patch: Making Your Text Invisible to Optical Character Recognition

JiaCheng Deng, Li Dong, Jiahao Chen +5

Optical Character Recognition (OCR) enables automatic text extraction from scanned or digitized text images, but it also makes it easy to pirate valuable or sensitive text from the…

cs.CR2023★ 1 cited

Detecting Backdoors During the Inference Stage Based on Corruption Robustness Consistency

Xiaogeng Liu, Minghui Li, Haoyu Wang +5

Deep neural networks are proven to be vulnerable to backdoor attacks. Detecting the trigger samples during the inference stage, i.e., the test-time trigger sample detection, can pr…

cs.CV2023★ 7 cited

Feature Extraction Matters More: Universal Deepfake Disruption through Attacking Ensemble Feature Extractors

Long Tang, Dengpan Ye, Zhenhao Lu +4

Adversarial example is a rising way of protecting facial privacy security from deepfake modification. To prevent massive facial images from being illegally modified by various deep…

cs.SD2020★ 27 cited

Robust ENF Estimation Based on Harmonic Enhancement and Maximum Weight Clique

Guang Hua, Han Liao, Haijian Zhang +2

We present a framework for robust electric network frequency (ENF) extraction from real-world audio recordings, featuring multi-tone ENF harmonic enhancement and graph-based optima…

cs.CR2020★ 1 cited

Reliability of Power System Frequency on Times-Stamping Digital Recordings

Guang Hua, Qingyi Wang, Dengpan Ye +1

Power system frequency could be captured by digital recordings and extracted to compare with a reference database for forensic time-stamp verification. It is known as the electric…

cs.LG2020★ 6 cited

Detection Defense Against Adversarial Attacks with Saliency Map

Dengpan Ye, Chuanxi Chen, Changrui Liu +2

It is well established that neural networks are vulnerable to adversarial examples, which are almost imperceptible on human vision and can cause the deep models misbehave. Such phe…

cs.CR2019★ 6 cited

Augmenting Encrypted Search: A Decentralized Service Realization with Enforced Execution

Shengshan Hu, Chengjun Cai, Qian Wang +4

Searchable symmetric encryption (SSE) allows the data owner to outsource an encrypted database to a remote server in a private manner while maintaining the ability for selectively…

cs.NI2019

Delay-Distance Correlation Study for IP Geolocation

Shichang Ding, Xiangyang Luo, Dengpan Ye +1

Although many classical IP geolocation algorithms are suitable to rich-connected networks, their performances are seriously affected in poor-connected networks with weak delay-dist…

cs.MM2019★ 18 cited

Heard More Than Heard: An Audio Steganography Method Based on GAN

Dengpan Ye, Shunzhi Jiang, Jiaqin Huang

Audio steganography is a collection of techniques for concealing the existence of information by embedding it within a non-secret audio, which is referred to as carrier. Distinct f…

cs.IR2017★ 60 cited

NEXT: A Neural Network Framework for Next POI Recommendation

Zhiqian Zhang, Chenliang Li, Zhiyong Wu +3

The task of next POI recommendation has been studied extensively in recent years. However, developing an unified recommendation framework to incorporate multiple factors associated…