Web Scale Taxonomy Cleansing. - Taesung Lee; Zhongyuan Wang 006; Haixun Wang; Seung-won Hwang (Proc. VLDB Endow., 2011)

Bootstrapping Entity Translation on Weakly Comparable Corpora. - Taesung Lee; Seung-won Hwang (ACL (1), 2013)

Attribute extraction and scoring: A probabilistic approach. - Taesung Lee; Zhongyuan Wang 006; Haixun Wang; Seung-won Hwang (ICDE, 2013)

Understanding Relation Temporality of Entities. - Taesung Lee; Seung-won Hwang (ACL (2), 2014)

Map Translation Using Geo-tagged Social Media. - Sunyou Lee; Taesung Lee; Seung-won Hwang (EACL, 2014)

Overcoming Asymmetry in Entity Graphs. - Taesung Lee; Young-rok Cha; Seung-won Hwang (IEEE Trans. Knowl. Data Eng., 2014)

Processing and Optimizing Main Memory Spatial-Keyword Queries. - Taesung Lee; Jin-Woo Park; Sanghoon Lee; Seung-won Hwang; Sameh Elnikety; Yuxiong He (Proc. VLDB Endow., 2015)

Trivia quiz mining using probabilistic knowledge. - Taesung Lee; Seung-won Hwang; Zhongyuan Wang 006 (ASONAM, 2016)

Probabilistic Prototype Model for Serendipitous Property Mining. - Taesung Lee; Seung-won Hwang; Zhongyuan Wang 006 (COLING, 2016)

Linking, integrating, and translating entities via iterative graph matching. - Taesung Lee; Seung-won Hwang (TAAI, 2016)

Defending Against Model Stealing Attacks Using Deceptive Perturbations. - Taesung Lee; Benjamin Edwards; Ian M. Molloy; Dong Su (CoRR, 2018)

List Intersection for Web Search: Algorithms, Cost Models, and Optimizations. - Sunghwan Kim; Taesung Lee; Seung-won Hwang; Sameh Elnikety (Proc. VLDB Endow., 2018)

Detecting Backdoor Attacks on Deep Neural Networks by Activation Clustering. - Bryant Chen; Wilka Carvalho; Nathalie Baracaldo; Heiko Ludwig; Benjamin Edwards; Taesung Lee; Ian M. Molloy; Biplav Srivastava (SafeAI@AAAI, 2019)

Supervising Unsupervised Open Information Extraction Models. - Arpita Roy; Youngja Park; Taesung Lee; Shimei Pan (EMNLP/IJCNLP (1), 2019)

AdvIT: Adversarial Frames Identifier Based on Temporal Consistency in Videos. - Chaowei Xiao; Ruizhi Deng; Bo Li 026; Taesung Lee; Benjamin Edwards; Jinfeng Yi; Dawn Song; Mingyan Liu; Ian M. Molloy (ICCV, 2019)

Unsupervised Sentence Embedding Using Document Structure-Based Context. - Taesung Lee; Youngja Park (ECML/PKDD (2), 2019)

Defending Against Neural Network Model Stealing Attacks Using Deceptive Perturbations. - Taesung Lee; Benjamin Edwards; Ian M. Molloy; Dong Su (IEEE Symposium on Security and Privacy Workshops, 2019)

Utilizing Multimodal Feature Consistency to Detect Adversarial Examples on Clinical Summaries. - Wenjie Wang 008; Youngja Park; Taesung Lee; Ian M. Molloy; Pengfei Tang; Li Xiong 001 (ClinicalNLP@EMNLP, 2020)

A new measure for overfitting and its implications for backdooring of deep learning. - Kathrin Grosse; Taesung Lee; Youngja Park; Michael Backes 001; Ian M. Molloy (CoRR, 2020)

Adaptive Verifiable Training Using Pairwise Class Similarity. - Shiqi Wang 002; Kevin Eykholt; Taesung Lee; Jiyong Jang; Ian M. Molloy (AAAI, 2021)

iTurboGraph: Scaling and Automating Incremental Graph Analytics. - Seongyun Ko; Taesung Lee; Kijae Hong; Wonseok Lee; In Seo; Jiwon Seo 002; Wook-Shin Han (SIGMOD Conference, 2021)

Full-Stack Information Extraction System for Cybersecurity Intelligence. - Youngja Park; Taesung Lee (EMNLP (Industry Track), 2022)

Advanced novel optical stack technologies for high SNR in CMOS Image Sensor. - Hye Yeon Park; Yunki Lee; Jonghoon Park; Hyunseok Song; Taesung Lee; Hyung Keun Gweon; Yunji Jung; Jeongmin Bae 004; Boseong Kim; Junwon Han; Seungwon Kim; Cheolsang Yoon; et al. (VLSI Technology and Circuits, 2022)

Backdoor smoothing: Demystifying backdoor attacks on deep neural networks. - Kathrin Grosse; Taesung Lee; Battista Biggio; Youngja Park; Michael Backes 001; Ian M. Molloy (Comput. Secur., 2022)

Robustness of Explanation Methods for NLP Models. - Shriya Atmakuri; Tejas Chheda; Dinesh Kandula; Nishant Yadav; Taesung Lee; Hessel Tuinhof (CoRR, 2022)

Matching Pairs: Attributing Fine-Tuned Models to their Pre-Trained Large Language Models. - Myles Foley; Ambrish Rawat; Taesung Lee; Yufang Hou; Gabriele Picco; Giulio Zizzo (ACL (1), 2023)

EdgeTorrent: Real-time Temporal Graph Representations for Intrusion Detection. - Isaiah J. King; Xiaokui Shu; Jiyong Jang; Kevin Eykholt; Taesung Lee; H. Howie Huang (RAID, 2023)

Benchmarking the Effect of Poisoning Defenses on the Security and Bias of Deep Learning Models. - Nathalie Baracaldo; Farhan Ahmed; Kevin Eykholt; Yi Zhou 015; Shriti Priya; Taesung Lee; Swanand Kadhe; Mike Tan; Sridevi Polavaram; Sterling Suggs; Yuyang Gao; David Slater (SP (Workshops), 2023)

URET: Universal Robustness Evaluation Toolkit (for Evasion). - Kevin Eykholt; Taesung Lee; Douglas Lee Schales; Jiyong Jang; Ian M. Molloy; Masha Zorin (USENIX Security Symposium, 2023)

A 3.0 Gb/s/pin 4th generation F-chip with Toggle 5.0 Specification for 16Tb NAND Flash Memory Multi chip Package. - Youngmin Jo; Anil Kavala; Tongsung Kim; Byung-Kwan Chun; Jungjune Park; Taesung Lee; Jungmin Seo; Manjae Yang; Taehyeon Park; Hyunjin Kwon; Cheolhui Lee; Younghoon Son; et al. (VLSI Technology and Circuits, 2023)

13.3 A 280-Layer 1Tb 4b/cell 3D-NAND Flash Memory with a 28.5Gb/mm2 Areal Density and a 3.2GB/s High-Speed IO Rate. - Wontaeck Jung; Hyunggon Kim; Do-Bin Kim; Tae-Hyun Kim; Nam-Hee Lee; Dongjin Shin; Minyoung Kim; Youngsik Rho; Hun-Jong Lee; Yujin Hyun; Jaeyoung Park; Taekyung Kim; et al. (ISSCC, 2024)

Towards Generating Informative Textual Description for Neurons in Language Models. - Shrayani Mondal; Rishabh Garodia; Arbaaz Qureshi; Taesung Lee; Youngja Park (CoRR, 2024)

Constitutional Classifiers: Defending against Universal Jailbreaks across Thousands of Hours of Red Teaming. - Mrinank Sharma; Meg Tong; Jesse Mu; Jerry Wei; Jorrit Kruthoff; Scott Goodfriend; Euan Ong; Alwin Peng; Raj Agarwal; Cem Anil; Amanda Askell; Nathan Bailey; et al. (CoRR, 2025)