Butterfly: Protecting Output Privacy in Stream Mining. - Ting Wang 006; Ling Liu 001 (ICDE, 2008)

A Temporal Data-Mining Approach for Discovering End-to-End Transaction Flows. - Ting Wang 006; Chang-Shing Perng; Tao Tao; Chunqiang Tang; Edward So; Chun Zhang; Rong N. Chang; Ling Liu 001 (ICWS, 2008)

Supporting anonymous location queries in mobile environments with privacygrid. - Bhuvan Bamba; Ling Liu 001; Péter Pesti; Ting Wang 006 (WWW, 2008)

A General Proximity Privacy Principle. - Ting Wang 006; Shicong Meng; Bhuvan Bamba; Ling Liu 001; Calton Pu (ICDE, 2009)

Learning, indexing, and diagnosing network faults. - Ting Wang 006; Mudhakar Srivatsa; Dakshi Agrawal; Ling Liu 001 (KDD, 2009)

Privacy-Aware Mobile Services over Road Networks. - Ting Wang 006; Ling Liu 001 (Proc. VLDB Endow., 2009)

Spatio-temporal patterns in network events. - Ting Wang 006; Mudhakar Srivatsa; Dakshi Agrawal; Ling Liu 001 (CoNEXT, 2010)

Monitoring continuous state violation in datacenters: Exploring the time dimension. - Shicong Meng; Ting Wang 006; Ling Liu 001 (ICDE, 2010)

XColor: Protecting general proximity privacy. - Ting Wang 006; Ling Liu 001 (ICDE, 2010)

Execution Assurance for Massive Computing Tasks. - Ting Wang 006; Ling Liu 001 (IEICE Trans. Inf. Syst., 2010)

Privacy preserving indexing for eHealth information networks. - Yuzhe Richard Tang; Ting Wang 006; Ling Liu 001; Shicong Meng; Balaji Palanisamy (CIKM, 2011)

Modeling data flow in socio-information networks: a risk estimation approach. - Ting Wang 006; Mudhakar Srivatsa; Dakshi Agrawal; Ling Liu 001 (SACMAT, 2011)

State Monitoring in Cloud Datacenters. - Shicong Meng; Ling Liu 001; Ting Wang 006 (IEEE Trans. Knowl. Data Eng., 2011)

Output privacy in data mining. - Ting Wang 006; Ling Liu 001 (ACM Trans. Database Syst., 2011)

Data analytics for networked and possibly private sources. - Ting Wang 006 (2011)

Fine-grained access control of personal data. - Ting Wang 006; Mudhakar Srivatsa; Ling Liu 001 (SACMAT, 2012)

Microscopic Social Influence. - Ting Wang 006; Mudhakar Srivatsa; Dakshi Agrawal; Ling Liu 001 (SDM, 2012)

CloudLEGO: scalable cross-VM-type application performance prediction. - Shicong Meng; Arun Iyengar; Ling Liu 001; Ting Wang 006; Jian Tan; Ignacio Silva-Lepe; Isabelle Rouvellou (SoCC, 2013)

Lightweight authentication of freshness in outsourced key-value stores. - Yuzhe Richard Tang; Ting Wang 006; Ling Liu 001; Xin Hu 001; Jiyong Jang (ACSAC, 2014)

Rebuilding the Tower of Babel: Towards Cross-System Malware Information Sharing. - Ting Wang 006; Shicong Meng; Wei Gao 006; Xin Hu 001 (CIKM, 2014)

Outsourcing multi-version key-value stores with verifiable data freshness. - Yuzhe Richard Tang; Ling Liu 001; Ting Wang 006; Xin Hu 001; Reiner Sailer; Peter R. Pietzuch (ICDE, 2014)

Reconciling malware labeling discrepancy via consensus learning. - Ting Wang 006; Xin Hu 001; Shicong Meng; Reiner Sailer (ICDE Workshops, 2014)

On Exploiting Dynamic Execution Patterns for Workload Offloading in Mobile Cloud Applications. - Wei Gao 006; Yong Li 015; Haoyang Lu; Ting Wang 006; Cong Liu 005 (ICNP, 2014)

Stream computing for large-scale, multi-channel cyber threat analytics. - Douglas Lee Schales; Mihai Christodorescu; Xin Hu 001; Jiyong Jang; Josyula R. Rao; Reiner Sailer; Marc Ph. Stoecklin; Wietse Z. Venema; Ting Wang 006 (IRI, 2014)

Quantifying herding effects in crowd wisdom. - Ting Wang 006; Dashun Wang; Fei Wang 001 (KDD, 2014)

Kaleido: Network Traffic Attribution using Multifaceted Footprinting. - Ting Wang 006; Fei Wang 001; Reiner Sailer; Douglas Lee Schales (SDM, 2014)

Asset Risk Scoring in Enterprise Network with Mutually Reinforced Reputation Propagation. - Xin Hu 001; Ting Wang 006; Marc Ph. Stoecklin; Douglas Lee Schales; Jiyong Jang; Reiner Sailer (IEEE Symposium on Security and Privacy Workshops, 2014)

Why Amazon's Ratings Might Mislead You: The Story of Herding Effects. - Ting Wang 006; Dashun Wang (Big Data, 2014)

MUSE: asset risk scoring in enterprise network with mutually reinforced reputation propagation. - Xin Hu 001; Ting Wang 006; Marc Ph. Stoecklin; Douglas Lee Schales; Jiyong Jang; Reiner Sailer (EURASIP J. Inf. Secur., 2014)

PARS: A Uniform and Open-source Password Analysis and Research System. - Shouling Ji; Shukun Yang; Ting Wang 006; Changchang Liu; Wei-Han Lee; Raheem A. Beyah (ACSAC, 2015)

FCCE: Highly scalable distributed Feature Collection and Correlation Engine for low latency big data analytics. - Douglas Lee Schales; Xin Hu 001; Jiyong Jang; Reiner Sailer; Marc Ph. Stoecklin; Ting Wang 006 (ICDE, 2015)

Rateless and pollution-attack-resilient network coding. - Wentao Huang; Ting Wang 006; Xin Hu 001; Jiyong Jang; Theodoros Salonidis (ISIT, 2015)

Indexing Earth Mover's Distance over Network Metrics. - Ting Wang 006; Shicong Meng; Jiang Bian 002 (IEEE Trans. Knowl. Data Eng., 2015)

Inspiration or Preparation?: Explaining Creativity in Scientific Enterprise. - Xinyang Zhang 001; Dashun Wang; Ting Wang 006 (CIKM, 2016)

Detecting Malicious Exploit Kits using Tree-based Similarity Searches. - Teryl Taylor; Xin Hu 001; Ting Wang 006; Jiyong Jang; Marc Ph. Stoecklin; Fabian Monrose; Reiner Sailer (CODASPY, 2016)

BAYWATCH: Robust Beaconing Detection to Identify Infected Hosts in Large-Scale Enterprise Networks. - Xin Hu 001; Jiyong Jang; Marc Ph. Stoecklin; Ting Wang 006; Douglas Lee Schales; Dhilung Kirat; Josyula R. Rao (DSN, 2016)

BotMeter: Charting DGA-Botnet Landscapes in Large Networks. - Ting Wang 006; Xin Hu 001; Jiyong Jang; Shouling Ji; Marc Ph. Stoecklin; Teryl Taylor (ICDCS, 2016)

Hunting for invisibility: Characterizing and detecting malicious web infrastructures through server visibility analysis. - Jialong Zhang 001; Xin Hu 001; Jiyong Jang; Ting Wang 006; Guofei Gu; Marc Ph. Stoecklin (INFOCOM, 2016)

Context-Aware Online Learning for Course Recommendation of MOOC Big Data. - Yifan Hou; Pan Zhou 001; Ting Wang 006; Li Yu 003; Yuchong Hu; Dapeng Wu 001 (CoRR, 2016)

Scalable malware classification with multifaceted content features and threat intelligence. - Xin Hu 001; Jiyong Jang; Ting Wang 006; Zubair Ashraf; Marc Ph. Stoecklin; Dhilung Kirat (IBM J. Res. Dev., 2016)

Scalable analytics to detect DNS misuse for establishing stealthy communication channels. - Douglas Lee Schales; Jiyong Jang; Ting Wang 006; Xin Hu 001; Dhilung Kirat; B. Wuest; Marc Ph. Stoecklin (IBM J. Res. Dev., 2016)

Backdoor attacks against learning systems. - Yujie Ji; Xinyang Zhang 001; Ting Wang 006 (CNS, 2017)

Pairwise Ranking Aggregation by Non-interactive Crowdsourcing with Budget Constraints. - Changjiang Cai; Haipei Sun; Boxiang Dong; Bo Zhang 051; Ting Wang 006; Hui Wang 013 (ICDCS, 2017)

Private, Yet Practical, Multiparty Deep Learning. - Xinyang Zhang 001; Shouling Ji; Hui Wang 013; Ting Wang 006 (ICDCS, 2017)

Modular Learning Component Attacks: Today's Reality, Tomorrow's Challenge. - Xinyang Zhang 001; Yujie Ji; Ting Wang 006 (CoRR, 2017)

Where Classification Fails, Interpretation Rises. - Chanh Nguyen; Georgi Georgiev; Yujie Ji; Ting Wang 006 (CoRR, 2017)

Towards Understanding the Dynamics of Adversarial Attacks. - Yujie Ji; Ting Wang 006 (CCS, 2018)

Model-Reuse Attacks on Deep Learning Systems. - Yujie Ji; Xinyang Zhang 001; Shouling Ji; Xiapu Luo; Ting Wang 006 (CCS, 2018)

Integration of Static and Dynamic Code Stylometry Analysis for Programmer De-anonymization. - Ningfei Wang; Shouling Ji; Ting Wang 006 (AISec@CCS, 2018)

Towards Evaluating the Security of Real-World Deployed Image CAPTCHAs. - Binbin Zhao; Haiqin Weng; Shouling Ji; Jianhai Chen; Ting Wang 006; Qinming He; Reheem Beyah (AISec@CCS, 2018)

DeepClean: Data Cleaning via Question Asking. - Xinyang Zhang 001; Yujie Ji; Chanh Nguyen; Ting Wang 006 (DSAA, 2018)

Quantifying Graph Anonymity, Utility, and De-anonymity. - Shouling Ji; Tianyu Du; Zhen Hong; Ting Wang 006; Raheem A. Beyah (INFOCOM, 2018)

Differentially Private Releasing via Deep Generative Model. - Xinyang Zhang 001; Shouling Ji; Ting Wang 006 (CoRR, 2018)

EagleEye: Attack-Agnostic Defense against Adversarial Inputs (Technical Report). - Yujie Ji; Xinyang Zhang 001; Ting Wang 006 (CoRR, 2018)

Interpretable Deep Learning under Fire. - Xinyang Zhang 001; Ningfei Wang; Shouling Ji; Hua Shen; Ting Wang 006 (CoRR, 2018)

Differentially Private Distributed Online Learning. - Chencheng Li; Pan Zhou 001; Li Xiong 001; Qian Wang 002; Ting Wang 006 (IEEE Trans. Knowl. Data Eng., 2018)

TokenScope: Automatically Detecting Inconsistent Behaviors of Cryptocurrency Tokens in Ethereum. - Ting Chen 002; Yufei Zhang 002; Zihao Li 001; Xiapu Luo; Ting Wang 006; Rong Cao; Xiuzhuo Xiao; Xiaosong Zhang 001 (CCS, 2019)

A Large-Scale Empirical Study on Control Flow Identification of Smart Contracts. - Ting Chen 002; Zihao Li 001; Yufei Zhang 002; Xiapu Luo; Ting Wang 006; Teng Hu; Xiuzhuo Xiao; Dong Wang 018; Jin Huang 011; Xiaosong Zhang 001 (ESEM, 2019)

CATS: Cross-Platform E-Commerce Fraud Detection. - Haiqin Weng; Shouling Ji; Fuzheng Duan; Zhao Li 007; Jianhai Chen; Qinming He; Ting Wang 006 (ICDE, 2019)

TextBugger: Generating Adversarial Text Against Real-world Applications. - Jinfeng Li; Shouling Ji; Tianyu Du; Bo Li 026; Ting Wang 006 (NDSS, 2019)

DEEPSEC: A Uniform Platform for Security Analysis of Deep Learning Model. - Xiang Ling 001; Shouling Ji; Jiaxu Zou; Jiannan Wang 002; Chunming Wu 001; Bo Li 026; Ting Wang 006 (IEEE Symposium on Security and Privacy, 2019)

Towards understanding the security of modern image captchas and underground captcha-solving services. - Haiqin Weng; Binbin Zhao; Shouling Ji; Jianhai Chen; Ting Wang 006; Qinming He; Raheem Beyah (Big Data Min. Anal., 2019)

FDI: Quantifying Feature-based Data Inferability. - Shouling Ji; Haiqin Weng; Yiming Wu; Pan Zhou 001; Qinming He; Raheem Beyah; Ting Wang 006 (CoRR, 2019)

De-Health: All Your Online Health Information Are Belong to Us. - Shouling Ji; Qinchen Gu; Haiqin Weng; Qianjun Liu; Pan Zhou 001; Qinming He; Raheem Beyah; Ting Wang 006 (CoRR, 2019)

The Tale of Evil Twins: Adversarial Inputs versus Backdoored Models. - Ren Pang; Xinyang Zhang 001; Shouling Ji; Yevgeniy Vorobeychik; Xiapu Luo; Ting Wang 006 (CoRR, 2019)

De-SAG: On the De-Anonymization of Structure-Attribute Graph Data. - Shouling Ji; Ting Wang 006; Jianhai Chen; Weiqing Li; Prateek Mittal; Raheem Beyah (IEEE Trans. Dependable Secur. Comput., 2019)

SirenAttack: Generating Adversarial Audio for End-to-End Acoustic Systems. - Tianyu Du; Shouling Ji; Jinfeng Li; Qinchen Gu; Ting Wang 006; Raheem Beyah (AsiaCCS, 2020)

A Tale of Evil Twins: Adversarial Inputs versus Poisoned Models. - Ren Pang; Hua Shen; Xinyang Zhang 001; Shouling Ji; Yevgeniy Vorobeychik; Xiapu Luo; Alex X. Liu; Ting Wang 006 (CCS, 2020)

Text Captcha Is Dead? A Large Scale Deployment and Empirical Study. - Chenghui Shi; Shouling Ji; Qianjun Liu; Changchang Liu; Yuefeng Chen; Yuan He 011; Zhe Liu 001; Raheem Beyah; Ting Wang 006 (CCS, 2020)

De-Health: All Your Online Health Information Are Belong to Us. - Shouling Ji; Qinchen Gu; Haiqin Weng; Qianjun Liu; Pan Zhou 001; Jing Chen 003; Zhao Li 007; Raheem Beyah; Ting Wang 006 (ICDE, 2020)

UI Obfuscation and Its Effects on Automated UI Analysis for Android Apps. - Hao Zhou 009; Ting Chen 002; Haoyu Wang 001; Le Yu 002; Xiapu Luo; Ting Wang 006; Wei Zhang 122 (ASE, 2020)

Demystifying Diehard Android Apps. - Hao Zhou 009; Haoyu Wang 001; Yajin Zhou; Xiapu Luo; Yutian Tang; Lei Xue 001; Ting Wang 006 (ASE, 2020)

AdvMind: Inferring Adversary Intent of Black-Box Attacks. - Ren Pang; Xinyang Zhang 001; Shouling Ji; Xiapu Luo; Ting Wang 006 (KDD, 2020)

TextShield: Robust Text Classification Based on Multimodal Embedding and Neural Machine Translation. - Jinfeng Li; Tianyu Du; Shouling Ji; Rong Zhang 006; Quan Lu; Min Yang 002; Ting Wang 006 (USENIX Security Symposium, 2020)

Interpretable Deep Learning under Fire. - Xinyang Zhang 001; Ningfei Wang; Hua Shen; Shouling Ji; Xiapu Luo; Ting Wang 006 (USENIX Security Symposium, 2020)

Trojaning Language Models for Fun and Profit. - Xinyang Zhang 001; Zheng Zhang; Ting Wang 006 (CoRR, 2020)

TROJANZOO: Everything you ever wanted to know about neural backdoors (but were afraid to ask). - Ren Pang; Zheng Zhang; Xiangshan Gao; Zhaohan Xi; Shouling Ji; Peng Cheng 001; Ting Wang 006 (CoRR, 2020)

Adversarial examples detection through the sensitivity in space mappings. - Xurong Li; Shouling Ji; Juntao Ji; Zhenyu Ren; Chunming Wu 001; Bo Li 026; Ting Wang 006 (IET Comput. Vis., 2020)

AsgLDP: Collecting and Generating Decentralized Attributed Graphs With Local Differential Privacy. - Chengkun Wei; Shouling Ji; Changchang Liu; Wenzhi Chen; Ting Wang 006 (IEEE Trans. Inf. Forensics Secur., 2020)

i-Algebra: Towards Interactive Interpretability of Deep Neural Networks. - Xinyang Zhang 001; Ren Pang; Shouling Ji; Fenglong Ma; Ting Wang 006 (AAAI, 2021)

Cert-RNN: Towards Certifying the Robustness of Recurrent Neural Networks. - Tianyu Du; Shouling Ji; Lujia Shen; Yao Zhang 019; Jinfeng Li; Jie Shi; Chengfang Fang; Jianwei Yin; Raheem Beyah; Ting Wang 006 (CCS, 2021)

Backdoor Pre-trained Models Can Transfer to All. - Lujia Shen; Shouling Ji; Xuhong Zhang 002; Jinfeng Li; Jing Chen 003; Jie Shi; Chengfang Fang; Jianwei Yin; Ting Wang 006 (CCS, 2021)

Trojaning Language Models for Fun and Profit. - Xinyang Zhang 001; Zheng Zhang; Shouling Ji; Ting Wang 006 (EuroS&P, 2021)

Finding the Missing Piece: Permission Specification Analysis for Android NDK. - Hao Zhou 009; Haoyu Wang 001; Shuohan Wu; Xiapu Luo; Yajin Zhou; Ting Chen 002; Ting Wang 006 (ASE, 2021)

Too Good to Be Safe: Tricking Lane Detection in Autonomous Driving with Crafted Perturbations. - Pengfei Jing; Qiyi Tang 003; Yuefeng Du 006; Lei Xue 001; Xiapu Luo; Ting Wang 006; Sen Nie; Shi Wu (USENIX Security Symposium, 2021)

UNIFUZZ: A Holistic and Pragmatic Metrics-Driven Platform for Evaluating Fuzzers. - Yuwei Li; Shouling Ji; Yuan Chen; Sizhuang Liang; Wei-Han Lee; Yueyao Chen; Chenyang Lyu; Chunming Wu 001; Raheem Beyah; Peng Cheng 001; Kangjie Lu; Ting Wang 006 (USENIX Security Symposium, 2021)

Graph Backdoor. - Zhaohan Xi; Ren Pang; Shouling Ji; Ting Wang 006 (USENIX Security Symposium, 2021)

Towards Robust Reasoning over Knowledge Graphs. - Zhaohan Xi; Ren Pang; Changjiang Li; Shouling Ji; Xiapu Luo; Xusheng Xiao; Ting Wang 006 (CoRR, 2021)

Backdoor Attack through Frequency Domain. - Tong Wang; Yuan Yao 001; Feng Xu 007; Shengwei An; Hanghang Tong; Ting Wang 006 (CoRR, 2021)

MedAttacker: Exploring Black-Box Adversarial Attacks on Risk Prediction Models in Healthcare. - Muchao Ye; Junyu Luo 001; Guanjie Zheng; Cao Xiao; Ting Wang 006; Fenglong Ma (CoRR, 2021)

Fast-RCM: Fast Tree-Based Unsupervised Rare-Class Mining. - Haiqin Weng; Shouling Ji; Changchang Liu; Ting Wang 006; Qinming He; Jianhai Chen (IEEE Trans. Cybern., 2021)

TextHoaxer: Budgeted Hard-Label Adversarial Attacks on Text. - Muchao Ye; Chenglin Miao; Ting Wang 006; Fenglong Ma (AAAI, 2022)

AUTOMED: Automated Medical Risk Predictive Modeling on Electronic Health Records. - Suhan Cui; Jiaqi Wang 002; Xinning Gui; Ting Wang 006; Fenglong Ma (BIBM, 2022)

MedAttacker: Exploring Black-Box Adversarial Attacks on Risk Prediction Models in Healthcare. - Muchao Ye; Junyu Luo 001; Guanjie Zheng; Cao Xiao; Houping Xiao; Ting Wang 006; Fenglong Ma (BIBM, 2022)

"Is your explanation stable?": A Robustness Evaluation Framework for Feature Attribution. - Yuyou Gan; Yuhao Mao; Xuhong Zhang 002; Shouling Ji; Yuwen Pu; Meng Han; Jianwei Yin; Ting Wang 006 (CCS, 2022)

An Invisible Black-Box Backdoor Attack Through Frequency Domain. - Tong Wang; Yuan Yao 001; Feng Xu 007; Shengwei An; Hanghang Tong; Ting Wang 006 (ECCV (13), 2022)

TrojanZoo: Towards Unified, Holistic, and Practical Evaluation of Neural Backdoors. - Ren Pang; Zheng Zhang; Xiangshan Gao; Zhaohan Xi; Shouling Ji; Peng Cheng 001; Xiapu Luo; Ting Wang 006 (EuroS&P, 2022)

Towards Fair and Robust Classification. - Haipei Sun; Kun Wu 011; Ting Wang 006; Wendy Hui Wang (EuroS&P, 2022)

MedSkim: Denoised Health Risk Prediction via Skimming Medical Claims Data. - Suhan Cui; Junyu Luo 001; Muchao Ye; Jiaqi Wang 002; Ting Wang 006; Fenglong Ma (ICDM, 2022)

NCScope: hardware-assisted analyzer for native code in Android apps. - Hao Zhou 009; Shuohan Wu; Xiapu Luo; Ting Wang 006; Yajin Zhou; Chao Zhang 008; Haipeng Cai (ISSTA, 2022)

LeapAttack: Hard-Label Adversarial Attack on Text via Gradient-Based Optimization. - Muchao Ye; Jinghui Chen; Chenglin Miao; Ting Wang 006; Fenglong Ma (KDD, 2022)

Packet-Level Open-World App Fingerprinting on Wireless Traffic. - Jianfeng Li 006; Shuohan Wu; Hao Zhou 009; Xiapu Luo; Ting Wang 006; Yangyang Liu; Xiaobo Ma (NDSS, 2022)

Uncovering Cross-Context Inconsistent Access Control Enforcement in Android. - Hao Zhou 009; Haoyu Wang 001; Xiapu Luo; Ting Chen 002; Yajin Zhou; Ting Wang 006 (NDSS, 2022)

Transfer Attacks Revisited: A Large-Scale Empirical Study in Real Computer Vision Settings. - Yuhao Mao; Chong Fu 002; Saizhuo Wang; Shouling Ji; Xuhong Zhang 002; Zhenguang Liu; Jun Zhou 011; Alex X. Liu; Raheem Beyah; Ting Wang 006 (SP, 2022)

Back-Propagating System Dependency Impact for Attack Investigation. - Pengcheng Fang; Peng Gao 008; Changlin Liu; Erman Ayday; Kangkook Jee; Ting Wang 006; Yanfang (Fanny) Ye; Zhuotao Liu; Xusheng Xiao (USENIX Security Symposium, 2022)

Label Inference Attacks Against Vertical Federated Learning. - Chong Fu 002; Xuhong Zhang 002; Shouling Ji; Jinyin Chen; Jingzheng Wu; Shanqing Guo; Jun Zhou 011; Alex X. Liu; Ting Wang 006 (USENIX Security Symposium, 2022)

Seeing is Living? Rethinking the Security of Facial Liveness Verification in the Deepfake Era. - Changjiang Li; Li Wang 120; Shouling Ji; Xuhong Zhang 002; Zhaohan Xi; Shanqing Guo; Ting Wang 006 (USENIX Security Symposium, 2022)

FOAP: Fine-Grained Open-World Android App Fingerprinting. - Jianfeng Li 006; Hao Zhou 009; Shuohan Wu; Xiapu Luo; Ting Wang 006; Xian Zhan; Xiaobo Ma (USENIX Security Symposium, 2022)

On the Security Risks of AutoML. - Ren Pang; Zhaohan Xi; Shouling Ji; Xiapu Luo; Ting Wang 006 (USENIX Security Symposium, 2022)

Towards Automatically Reverse Engineering Vehicle Diagnostic Protocols. - Le Yu 002; Yangyang Liu; Pengfei Jing; Xiapu Luo; Lei Xue 001; Kaifa Zhao; Yajin Zhou; Ting Wang 006; Guofei Gu; Sen Nie; Shi Wu (USENIX Security Symposium, 2022)

Confidence Matters: Inspecting Backdoors in Deep Neural Networks via Distribution Transfer. - Tong Wang; Yuan Yao 001; Feng Xu 007; Miao Xu 001; Shengwei An; Ting Wang 006 (CoRR, 2022)

Reasoning over Multi-view Knowledge Graphs. - Zhaohan Xi; Ren Pang; Changjiang Li; Tianyu Du; Shouling Ji; Fenglong Ma; Ting Wang 006 (CoRR, 2022)

Demystifying Self-supervised Trojan Attacks. - Changjiang Li; Ren Pang; Zhaohan Xi; Tianyu Du; Shouling Ji; Yuan Yao 001; Ting Wang 006 (CoRR, 2022)

Hijack Vertical Federated Learning Models with Adversarial Embedding. - Pengyu Qiu; Xuhong Zhang 002; Shouling Ji; Changjiang Li; Yuwen Pu; Xing Yang 004; Ting Wang 006 (CoRR, 2022)

All You Need Is Hashing: Defending Against Data Reconstruction Attack in Vertical Federated Learning. - Pengyu Qiu; Xuhong Zhang 002; Shouling Ji; Yuwen Pu; Ting Wang 006 (CoRR, 2022)

DetectS ec: Evaluating the robustness of object detection models to adversarial attacks. - Tianyu Du; Shouling Ji; Bo Wang; Sirui He; Jinfeng Li; Bo Li 026; Tao Wei 002; Yunhan Jia; Raheem Beyah; Ting Wang 006 (Int. J. Intell. Syst., 2022)

Focus : Function clone identification on cross-platform. - Lirong Fu; Shouling Ji; Changchang Liu; Peiyu Liu 003; Fuzheng Duan; Zonghui Wang; Whenzhi Chen; Ting Wang 006 (Int. J. Intell. Syst., 2022)

Adversarial CAPTCHAs. - Chenghui Shi; Xiaogang Xu 002; Shouling Ji; Kai Bu; Jianhai Chen; Raheem Beyah; Ting Wang 006 (IEEE Trans. Cybern., 2022)

Towards Certifying the Asymmetric Robustness for Neural Networks: Quantification and Applications. - Changjiang Li; Shouling Ji; Haiqin Weng; Bo Li 026; Jie Shi; Raheem Beyah; Shanqing Guo; Zonghui Wang; Ting Wang 006 (IEEE Trans. Dependable Secur. Comput., 2022)

SigRec: Automatic Recovery of Function Signatures in Smart Contracts. - Ting Chen 002; Zihao Li 001; Xiapu Luo; Xiaofeng Wang 006; Ting Wang 006; Zheyuan He; Kezhao Fang; Yufei Zhang 002; Hang Zhu; Hongwei Li 001; Yan Cheng; Xiaosong Zhang 001 (IEEE Trans. Software Eng., 2022)

AutoML in The Wild: Obstacles, Workarounds, and Expectations. - Yuan Sun 014; Qiurong Song; Xinning Gui; Fenglong Ma; Ting Wang 006 (CHI, 2023)

An Embarrassingly Simple Backdoor Attack on Self-supervised Learning. - Changjiang Li; Ren Pang; Zhaohan Xi; Tianyu Du; Shouling Ji; Yuan Yao 001; Ting Wang 006 (ICCV, 2023)

Poster: SigRec - Automatic Recovery of Function Signatures in Smart Contracts. - Ting Chen 002; Zihao Li 001; Xiapu Luo; Xiaofeng Wang 006; Ting Wang 006; Zheyuan He; Kezhao Fang; Yufei Zhang 002; Hang Zhu; Hongwei Li 001; Yan Cheng; Xiaosong Zhang 001 (ICDCS, 2023)

The Dark Side of AutoML: Towards Architectural Backdoor Search. - Ren Pang; Changjiang Li; Zhaohan Xi; Shouling Ji; Ting Wang 006 (ICLR, 2023)

Certified Edge Unlearning for Graph Neural Networks. - Kun Wu 011; Jie Shen 005; Yue Ning 001; Ting Wang 006; Wendy Hui Wang (KDD, 2023)

PAT: Geometry-Aware Hard-Label Black-Box Adversarial Attacks on Text. - Muchao Ye; Jinghui Chen; Chenglin Miao; Han Liu 008; Ting Wang 006; Fenglong Ma (KDD, 2023)

VLATTACK: Multimodal Adversarial Attacks on Vision-Language Tasks via Pre-trained Models. - Ziyi Yin 003; Muchao Ye; Tianrong Zhang; Tianyu Du; Jinguo Zhu; Han Liu 008; Jinghui Chen; Ting Wang 006; Fenglong Ma (NeurIPS, 2023)

IMPRESS: Evaluating the Resilience of Imperceptible Perturbations Against Unauthorized Data Usage in Diffusion-Based Generative AI. - Bochuan Cao; Changjiang Li; Ting Wang 006; Jinyuan Jia 001; Bo Li 026; Jinghui Chen (NeurIPS, 2023)

Defending Pre-trained Language Models as Few-shot Learners against Backdoor Attacks. - Zhaohan Xi; Tianyu Du; Changjiang Li; Ren Pang; Shouling Ji; Jinghui Chen; Fenglong Ma; Ting Wang 006 (NeurIPS, 2023)

UniT: A Unified Look at Certified Robust Training against Text Adversarial Perturbation. - Muchao Ye; Ziyi Yin 003; Tianrong Zhang; Tianyu Du; Jinghui Chen; Ting Wang 006; Fenglong Ma (NeurIPS, 2023)

FreeEagle: Detecting Complex Neural Trojans in Data-Free Cases. - Chong Fu 002; Xuhong Zhang 002; Shouling Ji; Ting Wang 006; Peng Lin; Yanghe Feng; Jianwei Yin (USENIX Security Symposium, 2023)

On the Security Risks of Knowledge Graph Reasoning. - Zhaohan Xi; Tianyu Du; Changjiang Li; Ren Pang; Shouling Ji; Xiapu Luo; Xusheng Xiao; Fenglong Ma; Ting Wang 006 (USENIX Security Symposium, 2023)

AIRS: Explanation for Deep Reinforcement Learning based Security Applications. - Jiahao Yu 001; Wenbo Guo 002; Qi Qin; Gang Wang 011; Ting Wang 006; Xinyu Xing 001 (USENIX Security Symposium, 2023)

Demystifying DeFi MEV Activities in Flashbots Bundle. - Zihao Li 001; Jianfeng Li 006; Zheyuan He; Xiapu Luo; Ting Wang 006; Xiaoze Ni; Wenwu Yang; Xi Chen; Ting Chen 002 (IACR Cryptol. ePrint Arch., 2023)

Your Labels are Selling You Out: Relation Leaks in Vertical Federated Learning. - Pengyu Qiu; Xuhong Zhang 002; Shouling Ji; Tianyu Du; Yuwen Pu; Jun Zhou 011; Ting Wang 006 (IEEE Trans. Dependable Secur. Comput., 2023)

Fraud-Agents Detection in Online Microfinance: A Large-Scale Empirical Study. - Yiming Wu; Zhiyuan Xie; Shouling Ji; Zhenguang Liu; Xuhong Zhang 002; Changting Lin; Shuiguang Deng; Jun Zhou 011; Ting Wang 006; Raheem Beyah (IEEE Trans. Dependable Secur. Comput., 2023)

Predicting line of therapy transition via similar patient augmentation. - Suhan Cui; Guanhao Wei; Li Zhou; Emily Zhao; Ting Wang 006; Fenglong Ma (J. Biomed. Informatics, 2023)

VQAttack: Transferable Adversarial Attacks on Visual Question Answering via Pre-trained Models. - Ziyi Yin 003; Muchao Ye; Tianrong Zhang; Jiaqi Wang 002; Han Liu 008; Jinghui Chen; Ting Wang 006; Fenglong Ma (AAAI, 2024)

Inspecting Prediction Confidence for Detecting Black-Box Backdoor Attacks. - Tong Wang; Yuan Yao 001; Feng Xu 007; Miao Xu 001; Shengwei An; Ting Wang 006 (AAAI, 2024)

Model Extraction Attacks Revisited. - Jiacheng Liang; Ren Pang; Changjiang Li; Ting Wang 006 (AsiaCCS, 2024)

Generative AI in the Wild: Prospects, Challenges, and Strategies. - Yuan Sun 014; Eunchae Jang; Fenglong Ma; Ting Wang 006 (CHI, 2024)

BIPEFT: Budget-Guided Iterative Search for Parameter Efficient Fine-Tuning of Large Pretrained Language Models. - Aofei Chang; Jiaqi Wang 002; Han Liu 008; Parminder Bhatia; Cao Xiao; Ting Wang 006; Fenglong Ma (EMNLP (Findings), 2024)

ReMasker: Imputing Tabular Data with Masked Autoencoding. - Tianyu Du; Luca Melis; Ting Wang 006 (ICLR, 2024)

Improving the Robustness of Transformer-based Large Language Models with Dynamic Attention. - Lujia Shen; Yuwen Pu; Shouling Ji; Changjiang Li; Xuhong Zhang 002; Chunpeng Ge 001; Ting Wang 006 (NDSS, 2024)

Automated Fusion of Multimodal Electronic Health Records for Better Medical Predictions. - Suhan Cui; Jiaqi Wang 002; Yuan Zhong 002; Han Liu 008; Ting Wang 006; Fenglong Ma (SDM, 2024)

MedDiffusion: Boosting Health Risk Prediction via Diffusion-based Data Augmentation. - Yuan Zhong 002; Suhan Cui; Jiaqi Wang 002; Xiaochen Wang 002; Ziyi Yin 003; Yaqing Wang 001; Houping Xiao; Mengdi Huai; Ting Wang 006; Fenglong Ma (SDM, 2024)

On the Difficulty of Defending Contrastive Learning against Backdoor Attacks. - Changjiang Li; Ren Pang; Bochuan Cao; Zhaohan Xi; Jinghui Chen; Shouling Ji; Ting Wang 006 (USENIX Security Symposium, 2024)

Rethinking the Vulnerabilities of Face Recognition Systems:From a Practical Perspective. - Jiahao Chen; Zhiqiang Shen; Yuwen Pu; Chunyi Zhou; Changjiang Li; Ting Wang 006; Shouling Ji (CoRR, 2024)

PromptFix: Few-shot Backdoor Removal via Adversarial Prompt Tuning. - Tianrong Zhang; Zhaohan Xi; Ting Wang 006; Prasenjit Mitra; Jinghui Chen (CoRR, 2024)

Watch the Watcher! Backdoor Attacks on Security-Enhancing Diffusion Models. - Changjiang Li; Ren Pang; Bochuan Cao; Jinghui Chen; Fenglong Ma; Shouling Ji; Ting Wang 006 (CoRR, 2024)

Navigating the Risks: A Survey of Security, Privacy, and Ethics Threats in LLM-Based Agents. - Yuyou Gan; Yong Yang; Zhe Ma 002; Ping He; Rui Zeng; Yiming Wang; Qingming Li; Chunyi Zhou; Songze Li; Ting Wang 006; Yunjun Gao; Yingcai Wu; et al. (CoRR, 2024)

CopyrightMeter: Revisiting Copyright Protection in Text-to-image Models. - Naen Xu; Changjiang Li; Tianyu Du; Minxi Li; Wenjie Luo; Jiacheng Liang; Yuyuan Li; Xuhong Zhang 002; Meng Han; Jianwei Yin; Ting Wang 006 (CoRR, 2024)

WaterPark: A Robustness Assessment of Language Model Watermarking. - Jiacheng Liang; Zian Wang; Lauren Hong; Shouling Ji; Ting Wang 006 (CoRR, 2024)

Towards Practical Backdoor Attacks on Federated Learning Systems. - Chenghui Shi; Shouling Ji; Xudong Pan; Xuhong Zhang 002; Mi Zhang 001; Min Yang 002; Jun Zhou 011; Jianwei Yin; Ting Wang 006 (IEEE Trans. Dependable Secur. Comput., 2024)

HashVFL: Defending Against Data Reconstruction Attacks in Vertical Federated Learning. - Pengyu Qiu; Xuhong Zhang 002; Shouling Ji; Chong Fu 002; Xing Yang 004; Ting Wang 006 (IEEE Trans. Inf. Forensics Secur., 2024)

AdvSQLi: Generating Adversarial SQL Injections Against Real-World WAF-as-a-Service. - Zhenqing Qu; Xiang Ling 001; Ting Wang 006; Xiang Chen 017; Shouling Ji; Chunming Wu 001 (IEEE Trans. Inf. Forensics Secur., 2024)

Towards understanding bogus traffic service in online social networks. - Ping He; Xuhong Zhang 002; Changting Lin; Ting Wang 006; Shouling Ji (Frontiers Inf. Technol. Electron. Eng., 2024)

Robust App Fingerprinting Over the Air. - Jianfeng Li 006; Zheng Lin; Jian Qu; Shuohan Wu; Hao Zhou 009; Yangyang Liu; Xiaobo Ma; Ting Wang 006; Xiapu Luo; Xiaohong Guan (IEEE/ACM Trans. Netw., 2024)

Shadow-Activated Backdoor Attacks on Multimodal Large Language Models. - Ziyi Yin 003; Muchao Ye; Yuanpu Cao; Jiaqi Wang 002; Aofei Chang; Han Liu 008; Jinghui Chen; Ting Wang 006; Fenglong Ma (ACL (Findings), 2025)

RAPID: Retrieval Augmented Training of Differentially Private Diffusion Models. - Tanqiu Jiang; Changjiang Li; Fenglong Ma; Ting Wang 006 (ICLR, 2025)

RobustKV: Defending Large Language Models against Jailbreak Attacks via KV Eviction. - Tanqiu Jiang; Zian Wang; Jiacheng Liang; Changjiang Li; Yuhui Wang 003; Ting Wang 006 (ICLR, 2025)

Automated and Accurate Token Transfer Identification and Its Applications in Cryptocurrency Security. - Shuwei Song; Ting Chen 002; Ao Qiao; Xiapu Luo; Leqing Wang; Zheyuan He; Ting Wang 006; Xiaodong Lin 001; Peng He; Wensheng Zhang; Xiaosong Zhang 001 (Proc. ACM Softw. Eng., 2025)

GraphRAG under Fire. - Jiacheng Liang; Yuhui Wang 003; Changjiang Li; Rongyi Zhu; Tanqiu Jiang; Neil Gong 001; Ting Wang 006 (CoRR, 2025)

Towards Robust Multimodal Large Language Models Against Jailbreak Attacks. - Ziyi Yin 003; Yuanpu Cao; Han Liu 008; Ting Wang 006; Jinghui Chen; Fenhlong Ma (CoRR, 2025)

AutoRAN: Weak-to-Strong Jailbreaking of Large Reasoning Models. - Jiacheng Liang; Tanqiu Jiang; Yuhui Wang 003; Rongyi Zhu; Fenglong Ma; Ting Wang 006 (CoRR, 2025)

On the Security Risks of ML-based Malware Detection Systems: A Survey. - Ping He; Yuhao Mao; Changjiang Li; Lorenzo Cavallaro; Ting Wang 006; Shouling Ji (CoRR, 2025)

Robustifying Vision-Language Models via Dynamic Token Reweighting. - Tanqiu Jiang; Jiacheng Liang; Rongyi Zhu; Jiawei Zhou; Fenglong Ma; Ting Wang 006 (CoRR, 2025)

MEDMKG: Benchmarking Medical Knowledge Exploitation with Multimodal Knowledge Graph. - Xiaochen Wang 002; Yuan Zhong 002; Lingwei Zhang; Lisong Dai; Ting Wang 006; Fenglong Ma (CoRR, 2025)

Your Agent Can Defend Itself against Backdoor Attacks. - Changjiang Li; Jiacheng Liang; Bochuan Cao; Jinghui Chen; Ting Wang 006 (CoRR, 2025)

Self-Improving Model Steering. - Rongyi Zhu; Yuhui Wang 003; Tanqiu Jiang; Jiacheng Liang; Ting Wang 006 (CoRR, 2025)