Our paper "DeepSec: A Uniform Platform for Security Analysis of Deep Learning Models" [PDF] was accepted by IEEE S&P (Oakland) 2019. Congrats to Lingxiang, Jiannan, and Jiaxu!
Our paper "Attacker Location Evaluation-based Fake Source Scheduling for Source Location Privacy in Cyber-Physical Systems" was accepted by IEEE Transactions on Information Forensics & Security (TIFS). Congrats to Zhen!
Haiqin Weng was chosen to receive an ACM CCS 2018 Travel Grant. Congrats to Haiqin.
Our two papers "Integration of Static and Dynamic Code Stylometry Analysis for Programmer De-anonymization" [PDF] and "Towards Evaluating the Security of Image CAPTCHA in the Wild" [PDF] were accepted by AISec 2018. Congrats to Ningfei, Binbin and Haiqin.
Dr. Shouling Ji was invited to serve on the TPC for IEEE ICC 2019.
Our paper "Pre-Patch: Find Hidden Threats in Open Software based on Machine Learning Method" won the Best Paper Award of SCF 2018.
Our paper "Adversarial Example Attacks and Defenses of Deep Learning Systems" was accepted by Communications of the CCF.
Dr. Shouling Ji was invited to serve on the Technical Program Committee (TPC) of IEEE MASS 2018.
Dr. Shouling Ji was elected to the CCF Technical Committee on Blockchian (CCF 区块链专委会委员).
Our paper "T-PriDO: A Tree-based Privacy-Preserving Distributed Online Big Data Processing System" was accepted by IEEE CNS 2018.
Dr. Shouling Ji was selected into the "National 1000 Young Talents Program".
Our paper "Online E-Commerce Fraud: A Large-scale Detection and Analysis" was accepted by ICDE 2018. Congrats to Haiqin and Tianyu!
Our paper "Fingerprinting for Cyber Physical System Security: Device Physics Matters Too" was accepted by IEEE Security & Privacy Magazine.
Our two papers "Quantifying Graph Anonymity, Utility, and De-anonymity" [PDF] and "CertChain: Public and Efficient Certificate Audit Based on Blockchain for TLS Connections"[PDF] were accepted by IEEE INFOCOM 2018.
Dr. Xuhong Zhang from University of Central Florida (UCF) visited the NESA Lab.
Our paper "PBUF: Sharing Buffer to Mitigate Flooding Attacks" was accepted by ICPADS 2017 and our paper "Blind De-anonymization Attacks using Social Networks" was accepted by WPES 2017 (in conjunction with ACM CCS 2017).
Dr. Ting Wang from Lehigh University visited the NESA Lab.
Our two papers "H2DoS: An Application-Layer DoS Attack towards HTTP/2 Protocol" and "HSTS Measurement and A New Stripping Attack Against HTTPS" were accepted by SECURECOMM 2017. Congrats to Xurong and Xiang.
Our paper "LaChouTi: Kernel Vulnerability Responding Framework for the Fragmented Android Devices" was accepted by FSE/ESEC 2017. Congrats to Jingzheng!
Dr. Kangjie Lu from Georgia Tech visited the NESA lab.
Our paper "De-SAG: On the De-anonymization of Structure-Attribute Graph Data" was accepted by IEEE Transactions on Dependable and Secure Computing (TDSC).
Dr. Shouling Ji was selected for the IEEE INFOCOM 2017 "Best-in-Session-Presentation" Award. The presented paper was "Password Correlation: Quantification, Evaluation and Application".
Our paper "Private, yet Practical, Multiparty Deep Learning" was accepted by ICDCS 2017. Congrats to Xinyang.
Our paper “Exception Beyond Exception: Crashing Android System by Trapping in "Uncaught Exception"” was accepted by ICSE 2017. Congrats to Dr. Jingzheng!
Prof. Ting Wang from Lehigh University visited the NESA Lab.
Mr. Yue Chen from Florida State University visited the NESA Lab.
Prof. Zhiyun Qian from UC Riverside visited the NESA Lab.
Our paper "Graph Data Anonymization, De-anonymization Attacks, and De-anonymizability Quantification: A Survey" was accepted by IEEE Communications Surveys & Tutorials (COMST). (IF = 9.22)
Our paper "Password Correlation: Quantification, Evaluation and Application" was accepted by IEEE INFOCOM 2017.
Our paper "Towards a Framework to Facilitate the Mobile Advertising Ecosystem" was accepted by ICPADS 2016.
Our paper "Sapprox: Enabling Efficient and Accurate Approximations on Sub-datasets with Distribution-aware Online Sampling" was accepted by VLDB 2017.
Our paper "SmartWalk: Enhancing Social Network Security via Adaptive Random Walks" is accepted by ACM CCS 2016.