Privacy Partition: A Privacy-Preserving Framework for Deep Neural Networks in Edge Networks. - Jianfeng Chi; Emmanuel Owusu; Xuwang Yin; Tong Yu 001; William Chan; Yiming Liu; Haodong Liu; Jiasen Chen; Swee Sim; Vibha Iyengar; Patrick Tague; Yuan Tian 001 (SEC, 2018)

Privacy Partitioning: Protecting User Data During the Deep Learning Inference Phase. - Jianfeng Chi; Emmanuel Owusu; Xuwang Yin; Tong Yu 001; William Chan; Patrick Tague; Yuan Tian 001 (CoRR, 2018)

Inquiry Spam Detection via Jointly Exploiting Temporal-Categorical Behavior and Linguistics. - Qiwei Zhong; Jiayu Tang; Jinghua Feng; Jianfeng Chi (ICDM, 2019)

Side Channel Attacks in Computation Offloading Systems with GPU Virtualization. - Sihang Liu 001; Yizhou Wei; Jianfeng Chi; Faysal Hossain Shezan; Yuan Tian 001 (IEEE Symposium on Security and Privacy Workshops, 2019)

Adversarial Task-Specific Privacy Preservation under Attribute Attack. - Han Zhao 002; Jianfeng Chi; Yuan Tian 001; Geoffrey J. Gordon (CoRR, 2019)

PolicyQA: A Reading Comprehension Dataset for Privacy Policies. - Wasi Uddin Ahmad; Jianfeng Chi; Yuan Tian 001; Kai-Wei Chang (EMNLP (Findings), 2020)

Learning to Undersampling for Class Imbalanced Credit Risk Forecasting. - Jianfeng Chi; Guanxiong Zeng; Qiwei Zhong; Ting Liang; Jinghua Feng; Xiang Ao 001; Jiayu Tang (ICDM, 2020)

Trade-offs and Guarantees of Adversarial Representation Learning for Information Obfuscation. - Han Zhao 002; Jianfeng Chi; Yuan Tian 001; Geoffrey J. Gordon (NeurIPS, 2020)

Hybrid Batch Attacks: Finding Black-box Adversarial Examples with Limited Queries. - Fnu Suya; Jianfeng Chi; David Evans 001; Yuan Tian 001 (USENIX Security Symposium, 2020)

Intent Classification and Slot Filling for Privacy Policies. - Wasi Uddin Ahmad; Jianfeng Chi; Tu Le; Thomas Norton; Yuan Tian 001; Kai-Wei Chang (ACL/IJCNLP (1), 2021)

Understanding and Mitigating Accuracy Disparity in Regression. - Jianfeng Chi; Yuan Tian 001; Geoffrey J. Gordon; Han Zhao 002 (ICML, 2021)

Credit Risk and Limits Forecasting in E-Commerce Consumer Lending Service via Multi-view-aware Mixture-of-experts Nets. - Ting Liang; Guanxiong Zeng; Qiwei Zhong; Jianfeng Chi; Jinghua Feng; Xiang Ao 001; Jiayu Tang (WSDM, 2021)

Pick and Choose: A GNN-based Imbalanced Learning Approach for Fraud Detection. - Yang Liu 200; Xiang Ao 001; Zidi Qin; Jianfeng Chi; Jinghua Feng; Hao Yang 037; Qing He 003 (WWW, 2021)

Towards Return Parity in Markov Decision Processes. - Jianfeng Chi; Jian Shen 003; Xinyi Dai; Weinan Zhang 001; Yuan Tian 001; Han Zhao 002 (AISTATS, 2022)

Bi-Level Selection via Meta Gradient for Graph-Based Fraud Detection. - Linfeng Dong; Yang Liu 200; Xiang Ao 001; Jianfeng Chi; Jinghua Feng; Hao Yang 037; Qing He 003 (DASFAA (1), 2022)

ADAPT: Adversarial Domain Adaptation with Purifier Training for Cross-Domain Credit Risk Forecasting. - Guanxiong Zeng; Jianfeng Chi; Rui Ma; Jinghua Feng; Xiang Ao 001; Hao Yang 037 (DASFAA (1), 2022)

Conditional Supervised Contrastive Learning for Fair Text Classification. - Jianfeng Chi; William Shand; Yaodong Yu; Kai-Wei Chang; Han Zhao 002; Yuan Tian 001 (EMNLP (Findings), 2022)

Reliable Representations Make A Stronger Defender: Unsupervised Structure Refinement for Robust GNN. - Kuan Li; Yang Liu 200; Xiang Ao 001; Jianfeng Chi; Jinghua Feng; Hao Yang 037; Qing He 003 (KDD, 2022)

AUC-oriented Graph Neural Network for Fraud Detection. - Mengda Huang; Yang Liu 200; Xiang Ao 001; Kuan Li; Jianfeng Chi; Jinghua Feng; Hao Yang 037; Qing He 003 (WWW, 2022)

PLUE: Language Understanding Evaluation Benchmark for Privacy Policies in English. - Jianfeng Chi; Wasi Uddin Ahmad; Yuan Tian 001; Kai-Wei Chang (ACL (2), 2023)

Retrieval Enhanced Data Augmentation for Question Answering on Privacy Policies. - Md. Rizwan Parvez; Jianfeng Chi; Wasi Uddin Ahmad; Yuan Tian 001; Kai-Wei Chang (EACL, 2023)

Llama Guard: LLM-based Input-Output Safeguard for Human-AI Conversations. - Hakan Inan; Kartikeya Upasani; Jianfeng Chi; Rashi Rungta; Krithika Iyer; Yuning Mao; Michael Tontchev; Qing Hu; Brian Fuller; Davide Testuggine; Madian Khabsa (CoRR, 2023)

BadMerging: Backdoor Attacks Against Model Merging. - Jinghuai Zhang; Jianfeng Chi; Zheng Li 023; Kunlin Cai; Yang Zhang 016; Yuan Tian 001 (CCS, 2024)

EAVE: Efficient Product Attribute Value Extraction via Lightweight Sparse-layer Interaction. - Li Yang; Qifan Wang 001; Jianfeng Chi; Jiahao Liu; Jingang Wang; Fuli Feng; Zenglin Xu; Yi Fang 008; Lifu Huang; Dongfang Liu (EMNLP (Findings), 2024)

FFB: A Fair Fairness Benchmark for In-Processing Group Fairness Methods. - Xiaotian Han; Jianfeng Chi; Yu Chen 022; Qifan Wang 001; Han Zhao 002; Na Zou 001; Xia Hu 001 (ICLR, 2024)

Where Have You Been? A Study of Privacy Risk for Point-of-Interest Recommendation. - Kunlin Cai; Jinghuai Zhang; Zhiqing Hong; William Shand; Guang Wang 001; Desheng Zhang; Jianfeng Chi; Yuan Tian 001 (KDD, 2024)

The Llama 3 Herd of Models. - Abhimanyu Dubey; Abhinav Jauhri; Abhinav Pandey; Abhishek Kadian; Ahmad Al-Dahle; Aiesha Letman; Akhil Mathur; Alan Schelten; Amy Yang; Angela Fan; Anirudh Goyal; Anthony Hartshorn; et al. (CoRR, 2024)

BadMerging: Backdoor Attacks Against Model Merging. - Jinghuai Zhang; Jianfeng Chi; Zheng Li; Kunlin Cai; Yang Zhang; Yuan Tian (CoRR, 2024)

Llama Guard 3 Vision: Safeguarding Human-AI Image Understanding Conversations. - Jianfeng Chi; Ujjwal Karn; Hongyuan Zhan; Eric Smith; Javier Rando; Yiming Zhang; Kate Plawiak; Zacharie Delpierre Coudert; Kartikeya Upasani; Mahesh Pasupuleti (CoRR, 2024)

Llama Guard 3-1B-INT4: Compact and Efficient Safeguard for Human-AI Conversations. - Igor Fedorov; Kate Plawiak; Lemeng Wu; Tarek Elgamal; Naveen Suda; Eric Smith; Hongyuan Zhan; Jianfeng Chi; Yuriy Hulovatyy; Kimish Patel; Zechun Liu; Changsheng Zhao 002; et al. (CoRR, 2024)

Backtracking Improves Generation Safety. - Yiming Zhang; Jianfeng Chi; Hailey Nguyen; Kartikeya Upasani; Daniel M. Bikel; Jason E. Weston; Eric Michael Smith (ICLR, 2025)

Persistent Pre-training Poisoning of LLMs. - Yiming Zhang; Javier Rando; Ivan Evtimov; Jianfeng Chi; Eric Michael Smith; Nicholas Carlini; Florian Tramèr; Daphne Ippolito (ICLR, 2025)

Towards Understanding the Fragility of Multilingual LLMs against Fine-Tuning Attacks. - Samuele Poppi; Zheng-Xin Yong; Yifei He; Bobbie Chern; Han Zhao 002; Aobo Yang; Jianfeng Chi (NAACL (Findings), 2025)

Shape it Up! Restoring LLM Safety during Finetuning. - Shengyun Peng; Pin-Yu Chen; Jianfeng Chi; Seongmin Lee 007; Duen Horng Chau (CoRR, 2025)