DNSSEC Misconfigurations in Popular Domains. - Tianxiang Dai; Haya Schulmann; Michael Waidner (CANS, 2016)

Domain Validation++ For MitM-Resilient PKI. - Markus Brandt; Tianxiang Dai; Amit Klein 001; Haya Schulmann; Michael Waidner (CCS, 2018)

Off-Path Attacks Against PKI. - Tianxiang Dai; Haya Schulmann; Michael Waidner (CCS, 2018)

SMap: Internet-wide Scanning for Spoofing. - Tianxiang Dai; Haya Schulmann (ACSAC, 2021)

DNS-over-TCP considered vulnerable. - Tianxiang Dai; Haya Schulmann; Michael Waidner (ANRW, 2021)

Let's Downgrade Let's Encrypt. - Tianxiang Dai; Haya Schulmann; Michael Waidner (CCS, 2021)

Poster: Off-path VoIP Interception Attacks. - Tianxiang Dai; Haya Schulmann; Michael Waidner (ICDCS, 2021)

Poster: Fragmentation Attacks on DNS over TCP. - Tianxiang Dai; Haya Schulmann; Michael Waidner (ICDCS, 2021)

From IP to transport and beyond: cross-layer attacks against applications. - Tianxiang Dai; Philipp Jeitner; Haya Schulmann; Michael Waidner (SIGCOMM, 2021)

The Hijackers Guide To The Galaxy: Off-Path Taking Over Internet Resources. - Tianxiang Dai; Philipp Jeitner; Haya Schulmann; Michael Waidner (USENIX Security Symposium, 2021)

Force: Highly Efficient Four-Party Privacy-Preserving Machine Learning on GPU. - Tianxiang Dai; Li Duan; Yufan Jiang; Yong Li 021; Fei Mei; Yulian Sun (NordSec, 2023)

Force: Making 4PC > 4 × PC in Privacy Preserving Machine Learning on GPU. - Tianxiang Dai; Li Duan; Yufan Jiang; Yong Li 021; Fei Mei; Yulian Sun (IACR Cryptol. ePrint Arch., 2023)

Internet-Wide Evaluations of Security and Vulnerabilities. - Tianxiang Dai (2023)

SiGBDT: Large-Scale Gradient Boosting Decision Tree Training via Function Secret Sharing. - Yufan Jiang; Fei Mei; Tianxiang Dai; Yong Li 021 (AsiaCCS, 2024)

Towards General Neural Surrogate Solvers with Specialized Neural Accelerators. - Chenkai Mao; Robert Lupoiu; Tianxiang Dai; Mingkun Chen; Jonathan A. Fan (ICML, 2024)

NodeGuard: A Highly Efficient Two-Party Computation Framework for Training Large-Scale Gradient Boosting Decision Tree. - Tianxiang Dai; Yufan Jiang; Yong Li 021; Fei Mei (SP (Workshops), 2024)

Modeling and Experimental Validation of High-Flow Fluid-Driven Membrane Valves for Hyperactuated Soft Robots. - Tianxiang Dai; Nikola Velimirovic; Philipp Zalles; Daniel Bruder; Keith Buffinton; R. Brent Gillespie; C. David Remy (Adv. Intell. Syst., 2024)

Honorific Security: Efficient Two-Party Computation with Offloaded Arbitration and Public Verifiability. - Tianxiang Dai; Yufan Jiang; Yong Li 021; Jörn Müller-Quade; Andy Rupp (SECRYPT, 2025)

Post-Quantum Access Control with Application to Secure Data Retrieval. - Behzad Abdolmaleki; Hannes Blümel; Tianxiang Dai; Giacomo Fenzi; Homa Khajeh; Stefan Köpsell; Maryam Zarezadeh (IACR Commun. Cryptol., 2025)

AlphaFL: Secure Aggregation with Malicious2 Security for Federated Learning against Dishonest Majority. - Yufan Jiang; Maryam Zarezadeh; Tianxiang Dai; Stefan Köpsell (IACR Cryptol. ePrint Arch., 2025)

AlphaFL: Secure Aggregation with Malicious2 Security for Federated Learning against Dishonest Majority. - Yufan Jiang; Maryam Zarezadeh; Tianxiang Dai; Stefan Köpsell (Proc. Priv. Enhancing Technol., 2025)

SoK: A cloudy view on trust relationships of CVMs - How Confidential Virtual Machines are falling short in Public Cloud. - Jana Eisoldt; Anna Galanou; Andrey Ruzhanskiy; Nils Küchenmeister; Yewgenij Baburkin; Tianxiang Dai; Ivan Gudymenko; Stefan Köpsell; Rüdiger Kapitza (CoRR, 2025)

A multi-agentic framework for real-time, autonomous freeform metasurface design. - Robert Lupoiu; Yixuan Shao; Tianxiang Dai; Chenkai Mao; Kofi Edee; Jonathan A. Fan (CoRR, 2025)