Attacking the Kad network. - Peng Wang; James Tyra; Eric Chan-Tin; Tyson Malchow; Denis Foo Kune; Nicholas Hopper; Yongdae Kim (SecureComm, 2008)

Towards complete node enumeration in a peer-to-peer botnet. - Brent ByungHoon Kang; Eric Chan-Tin; Christopher P. Lee 001; James Tyra; Hun Jeong Kang; Chris Nunnery; Zachariah Wadler; Greg Sinclair; Nicholas Hopper; David Dagon; Yongdae Kim (AsiaCCS, 2009)

Why Kad Lookup Fails. - Hun Jeong Kang; Eric Chan-Tin; Nicholas Hopper; Yongdae Kim (Peer-to-Peer Computing, 2009)

The Frog-Boiling Attack: Limitations of Anomaly Detection for Secure Network Coordinate Systems. - Eric Chan-Tin; Daniel Feldman; Nicholas Hopper; Yongdae Kim (SecureComm, 2009)

Secure latency estimation with treeple. - Eric Chan-Tin; Nicholas Hopper (CCS, 2010)

How much anonymity does network latency leak? - Nicholas Hopper; Eugene Y. Vasserman; Eric Chan-Tin (ACM Trans. Inf. Syst. Secur., 2010)

Accurate and Provably Secure Latency Estimation with Treeple. - Eric Chan-Tin; Nicholas Hopper (NDSS, 2011)

The Frog-Boiling Attack: Limitations of Secure Network Coordinate Systems. - Eric Chan-Tin; Victor Heorhiadi; Nicholas Hopper; Yongdae Kim (ACM Trans. Inf. Syst. Secur., 2011)

KoNKS: konsensus-style network koordinate system. - Eric Chan-Tin; Nicholas Hopper (AsiaCCS, 2012)

Revisiting Circuit Clogging Attacks on Tor. - Eric Chan-Tin; Jiyoung Shin; Jiangmin Yu (ARES, 2013)

Introducing a Distributed Cloud Architecture with Efficient Resource Discovery and Optimal Resource Allocation. - Praveen Khethavath; Johnson P. Thomas; Eric Chan-Tin; Hong Liu 022 (SERVICES, 2013)

Attacking the kad network - real world evaluation and high fidelity simulation using DVN. - Peng Wang; James Tyra; Eric Chan-Tin; Tyson Malchow; Denis Foo Kune; Nicholas Hopper; Yongdae Kim (Secur. Commun. Networks, 2013)

A unified framework for robust cooperative spectrum sensing. - Qi Cheng 002; Eric Chan-Tin (ACSSC, 2014)

Identifying Webbrowsers in Encrypted Communications. - Jiangmin Yu; Eric Chan-Tin (WPES, 2014)

Secure Routing and Scheduling in Ad-Hoc Cognitive Radio Networks for Public Safety. - Eric Chan-Tin; Qi Cheng 002 (Int. J. Handheld Comput. Res., 2014)

AnonCall: Making Anonymous Cellular Phone Calls. - Eric Chan-Tin (ARES, 2015)

Hijacking the Vuze BitTorrent network: all your hop are belong to us. - Eric Chan-Tin; Victor Heorhiadi; Nicholas Hopper; Yongdae Kim (IET Inf. Secur., 2015)

Accurate geolocation using network coordinates. - Jiyoung Shin; Eric Chan-Tin; Praveenkumar Khethavath (Int. J. Secur. Networks, 2015)

Why we hate IT: two surveys on pre-generated and expiring passwords in an academic setting. - Michael Farcasin; Eric Chan-Tin (Secur. Commun. Networks, 2015)

SmartPass: a smarter geolocation-based authentication scheme. - Jiyoung Shin; S. Kancharlapalli; Michael Farcasin; Eric Chan-Tin (Secur. Commun. Networks, 2015)

Development of a Virtual Reality Based Simulation Environment for Orthopedic Surgical Training. - Joe Cecil 001; M. Bharathi Raj Kumar; Avinash Gupta; Miguel Pirela-Cruz; Eric Chan-Tin; Jiangmin Yu (OTM Workshops, 2016)

Wireless Interference Prediction for Embedded Health Devices. - Jiangmin Yu; Michael Farcasin; Eric Chan-Tin (ICCCN, 2017)

Fluid Passwords - Mitigating the effects of password leaks at the user level. - Michael Farcasin; Akhileshwar Guli; Eric Chan-Tin (CoRR, 2017)

Towards an efficient distributed cloud computing architecture. - Praveenkumar Khethavath; Johnson P. Thomas; Eric Chan-Tin (Peer-to-Peer Netw. Appl., 2017)

Website Fingerprinting Attack Mitigation Using Traffic Morphing. - Eric Chan-Tin; Taejoon Kim; Jinoh Kim (ICDCS, 2018)

Realistic Cover Traffic to Mitigate Website Fingerprinting Attacks. - Weiqi Cui; Jiangmin Yu; Yanmin Gong 001; Eric Chan-Tin (ICDCS, 2018)

DP-ADMM: ADMM-based Distributed Learning with Differential Privacy. - Zonghao Huang; Rui Hu 005; Eric Chan-Tin; Yanmin Gong 001 (CoRR, 2018)

Smartphone passcode prediction. - Tao Chen 043; Michael Farcasin; Eric Chan-Tin (IET Inf. Secur., 2018)

The case for HTTPS: measuring overhead and impact of certificate authorities. - Eric Chan-Tin; Rakesh Ravishankar (Int. J. Secur. Networks, 2018)

Revisiting Assumptions for Website Fingerprinting Attacks. - Weiqi Cui; Tao Chen 043; Christian Fields; Julianna Chen; Anthony Sierra; Eric Chan-Tin (AsiaCCS, 2019)

Measuring Tor Relay Popularity. - Tao Chen 043; Weiqi Cui; Eric Chan-Tin (SecureComm (1), 2019)

Efficient, Effective, and Realistic Website Fingerprinting Mitigation. - Weiqi Cui; Jiangmin Yu; Yanmin Gong 001; Eric Chan-Tin (EAI Endorsed Trans. Security Safety, 2019)

Addressing Rogue Vehicles by Integrating Computer Vision, Activity Monitoring, and Contextual Information. - Brook W. Abegaz; Eric Chan-Tin; Neil Klingensmith; George K. Thiruvathukal (AutomotiveUI (adjunct), 2020)

2020 Vision for Web Privacy. - Eric Chan-Tin (SNTA@HPDC, 2020)

More Realistic Website Fingerprinting Using Deep Learning. - Weiqi Cui; Tao Chen 043; Eric Chan-Tin (ICDCS, 2020)

DP-ADMM: ADMM-Based Distributed Learning With Differential Privacy. - Zonghao Huang; Rui Hu 005; Yuanxiong Guo; Eric Chan-Tin; Yanmin Gong 001 (IEEE Trans. Inf. Forensics Secur., 2020)

AdvEdge: Optimizing Adversarial Perturbations Against Interpretable Deep Learning. - Eldor Abdukhamidov; Mohammed Abuhamad; Firuz Juraev; Eric Chan-Tin; Tamer AbuHmed (CSoNet, 2021)

A Comparison of SONA and MTurk for Cybersecurity Surveys. - Anne Wagner; Anna Bakas; Shelia Kennison; Eric Chan-Tin (EICC, 2021)

Impact of Personality Types and Matching Messaging on Password Strength. - Anna Bakas; Anne Wagner; Spencer Johnston; Shelia Kennison; Eric Chan-Tin (EAI Endorsed Trans. Security Safety, 2021)

CySSS '22: 1st International Workshop on Cybersecurity and Social Sciences. - Eric Chan-Tin; Shelia Kennison (AsiaCCS, 2022)

The Personalities of Social Media Posts and Photos. - Anne Wagner; Anna Bakas; Daisy Reyes; Shelia Kennison; Eric Chan-Tin (AsiaCCS, 2022)

MLxPack: Investigating the Effects of Packers on ML-based Malware Detection Systems Using Static and Dynamic Traits. - Qirui Sun; Mohammed Abuhamad; Eldor Abdukhamidov; Eric Chan-Tin; Tamer Abuhmed (CySSS@AsiaCCS, 2022)

Predicting Phishing Victimization: Roles of Protective and Vulnerable Strategies and Decision-Making Styles. - Eric Chan-Tin; Loretta J. Stalans; Spencer Johnston; Daisy Reyes; Shelia Kennison (SNTA@HPDC, 2022)

Interpretations Cannot Be Trusted: Stealthy and Effective Adversarial Perturbations against Interpretable Deep Learning. - Eldor Abdukhamidov; Mohammed Abuhamad; Simon S. Woo; Eric Chan-Tin; Tamer Abuhmed (CoRR, 2022)

Comparing Online Surveys for Cybersecurity: SONA and MTurk. - Anne Wagner; Anna Bakas; Shelia Kennison; Eric Chan-Tin (EAI Endorsed Trans. Security Safety, 2022)

Identification and Analysis of the Spread of {Mis}information on Social Media. - Muhammad T. Khan; Rachel Gordon; Nimra Khan; Madeline Moran; Mohammed Abuhamad; Loretta J. Stalans; Jeffrey Huntsinger; Jennifer Forestal; Eric Chan-Tin (CSoNet, 2023)

WebTracker: Real Webbrowsing Behaviors. - Daisy Reyes; Eno Dynowski; Taryn Chovan; John Mikos; Eric Chan-Tin; Mohammed Abuhamad; Shelia Kennison (SVCC, 2023)

Lightweight and Effective Website Fingerprinting Over Encrypted DNS. - Yong Shao; Kenneth Hernandez; Kia Yang; Eric Chan-Tin; Mohammed Abuhamad (SVCC, 2023)

Userland Containers for Mobile Systems. - Isaac Ahlgren; Victor Rakotondranoro; Yasin N. Silva; Eric Chan-Tin; George K. Thiruvathukal; Neil Klingensmith (HotMobile, 2023)

Microbial Genetic Algorithm-based Black-box Attack against Interpretable Deep Learning Systems. - Eldor Abdukhamidov; Mohammed Abuhamad; Simon S. Woo; Eric Chan-Tin; Tamer Abuhmed (CoRR, 2023)

Unveiling Vulnerabilities in Interpretable Deep Learning Systems with Query-Efficient Black-box Attacks. - Eldor Abdukhamidov; Mohammed Abuhamad; Simon S. Woo; Eric Chan-Tin; Tamer Abuhmed (CoRR, 2023)

Deep Dive on Relationship Between Personality and Password Creation. - Madeline Moran; Arrianna Szymczak; Anna Hart; Shelia Kennison; Eric Chan-Tin (ACISP (2), 2024)

Unmasking the Vulnerabilities of Deep Learning Models: A Multi-Dimensional Analysis of Adversarial Attacks and Defenses. - Firuz Juraev; Mohammed Abuhamad; Eric Chan-Tin; George K. Thiruvathukal; Tamer Abuhmed (SVCC, 2024)

From Attack to Defense: Insights into Deep Learning Security Measures in Black-Box Settings. - Firuz Juraev; Mohammed Abuhamad; Eric Chan-Tin; George K. Thiruvathukal; Tamer Abuhmed (CoRR, 2024)

Hardening Interpretable Deep Learning Systems: Investigating Adversarial Threats and Defenses. - Eldor Abdukhamidov; Mohammed Abuhamad; Simon S. Woo; Eric Chan-Tin; Tamer Abuhmed (IEEE Trans. Dependable Secur. Comput., 2024)