Jianfeng Chi

According to our database, Jianfeng Chi authored at least 30 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Towards Understanding the Fragility of Multilingual LLMs against Fine-Tuning Attacks.

Samuele Poppi, Zheng-Xin Yong, Yifei He, Bobbie Chern, Han Zhao, Aobo Yang, Jianfeng Chi

CoRR, 2024

Persistent Pre-Training Poisoning of LLMs.

Yiming Zhang, Javier Rando, Ivan Evtimov, Jianfeng Chi, Eric Michael Smith, Nicholas Carlini, Florian Tramèr, Daphne Ippolito

CoRR, 2024

Backtracking Improves Generation Safety.

Yiming Zhang, Jianfeng Chi, Hailey Nguyen, Kartikeya Upasani, Daniel M. Bikel, Jason Weston, Eric Michael Smith

CoRR, 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, Aobo Yang, Archi Mitra, Archie Sravankumar, Artem Korenev, Arthur Hinsvark, Arun Rao, Aston Zhang, Aurélien Rodriguez, Austen Gregerson, Ava Spataru, Baptiste Rozière, Bethany Biron, Binh Tang, Bobbie Chern, Charlotte Caucheteux, Chaya Nayak, Chloe Bi, Chris Marra, Chris McConnell, Christian Keller, Christophe Touret, Chunyang Wu, Corinne Wong, Cristian Canton Ferrer, Cyrus Nikolaidis, Damien Allonsius, Daniel Song, Danielle Pintz, Danny Livshits, David Esiobu, Dhruv Choudhary, Dhruv Mahajan, Diego Garcia-Olano, Diego Perino, Dieuwke Hupkes, Egor Lakomkin, Ehab AlBadawy, Elina Lobanova, Emily Dinan, Eric Michael Smith, Filip Radenovic, Frank Zhang, Gabriel Synnaeve, Gabrielle Lee, Georgia Lewis Anderson, Graeme Nail, Grégoire Mialon, Guan Pang, Guillem Cucurell, Hailey Nguyen, Hannah Korevaar, Hu Xu, Hugo Touvron, Iliyan Zarov, Imanol Arrieta Ibarra, Isabel M. Kloumann, Ishan Misra, Ivan Evtimov, Jade Copet, Jaewon Lee, Jan Geffert, Jana Vranes, Jason Park, Jay Mahadeokar, Jeet Shah, Jelmer van der Linde, Jennifer Billock, Jenny Hong, Jenya Lee, Jeremy Fu, Jianfeng Chi, Jianyu Huang, Jiawen Liu, Jie Wang, Jiecao Yu, Joanna Bitton, Joe Spisak, Jongsoo Park, Joseph Rocca, Joshua Johnstun, Joshua Saxe, Junteng Jia, Kalyan Vasuden Alwala, Kartikeya Upasani, Kate Plawiak, Ke Li, Kenneth Heafield, Kevin Stone, et al.

CoRR, 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, Desheng Zhang, Jianfeng Chi, Yuan Tian

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

FFB: A Fair Fairness Benchmark for In-Processing Group Fairness Methods.

Xiaotian Han, Jianfeng Chi, Yu Chen, Qifan Wang, Han Zhao, Na Zou, Xia Hu

Proceedings of the Twelfth International Conference on Learning Representations, 2024

EAVE: Efficient Product Attribute Value Extraction via Lightweight Sparse-layer Interaction.

Li Yang, Qifan Wang, Jianfeng Chi, Jiahao Liu, Jingang Wang, Fuli Feng, Zenglin Xu, Yi Fang, Lifu Huang, Dongfang Liu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

BadMerging: Backdoor Attacks Against Model Merging.

Jinghuai Zhang, Jianfeng Chi, Zheng Li, Kunlin Cai, Yang Zhang, Yuan Tian

Proceedings of the 2024 on ACM SIGSAC Conference on Computer and Communications Security, 2024

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

Retrieval Enhanced Data Augmentation for Question Answering on Privacy Policies.

Md. Rizwan Parvez, Jianfeng Chi, Wasi Uddin Ahmad, Yuan Tian, Kai-Wei Chang

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

PLUE: Language Understanding Evaluation Benchmark for Privacy Policies in English.

Jianfeng Chi, Wasi Uddin Ahmad, Yuan Tian, Kai-Wei Chang

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

2022

AUC-oriented Graph Neural Network for Fraud Detection.

Mengda Huang, Yang Liu, Xiang Ao, Kuan Li, Jianfeng Chi, Jinghua Feng, Hao Yang, Qing He

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Reliable Representations Make A Stronger Defender: Unsupervised Structure Refinement for Robust GNN.

Kuan Li, Yang Liu, Xiang Ao, Jianfeng Chi, Jinghua Feng, Hao Yang, Qing He

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Conditional Supervised Contrastive Learning for Fair Text Classification.

Jianfeng Chi, William Shand, Yaodong Yu, Kai-Wei Chang, Han Zhao, Yuan Tian

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

ADAPT: Adversarial Domain Adaptation with Purifier Training for Cross-Domain Credit Risk Forecasting.

Guanxiong Zeng, Jianfeng Chi, Rui Ma, Jinghua Feng, Xiang Ao, Hao Yang

Proceedings of the Database Systems for Advanced Applications, 2022

Bi-Level Selection via Meta Gradient for Graph-Based Fraud Detection.

Linfeng Dong, Yang Liu, Xiang Ao, Jianfeng Chi, Jinghua Feng, Hao Yang, Qing He

Proceedings of the Database Systems for Advanced Applications, 2022

Towards Return Parity in Markov Decision Processes.

Jianfeng Chi, Jian Shen, Xinyi Dai, Weinan Zhang, Yuan Tian, Han Zhao

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Pick and Choose: A GNN-based Imbalanced Learning Approach for Fraud Detection.

Yang Liu, Xiang Ao, Zidi Qin, Jianfeng Chi, Jinghua Feng, Hao Yang, Qing He

Proceedings of the WWW '21: The Web Conference 2021, 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, Jiayu Tang

Proceedings of the WSDM '21, 2021

Understanding and Mitigating Accuracy Disparity in Regression.

Jianfeng Chi, Yuan Tian, Geoffrey J. Gordon, Han Zhao

Proceedings of the 38th International Conference on Machine Learning, 2021

Intent Classification and Slot Filling for Privacy Policies.

Wasi Uddin Ahmad, Jianfeng Chi, Tu Le, Thomas Norton, Yuan Tian, Kai-Wei Chang

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

Hybrid Batch Attacks: Finding Black-box Adversarial Examples with Limited Queries.

Fnu Suya, Jianfeng Chi, David Evans, Yuan Tian

Proceedings of the 29th USENIX Security Symposium, 2020

Trade-offs and Guarantees of Adversarial Representation Learning for Information Obfuscation.

Han Zhao, Jianfeng Chi, Yuan Tian, Geoffrey J. Gordon

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Learning to Undersampling for Class Imbalanced Credit Risk Forecasting.

Jianfeng Chi, Guanxiong Zeng, Qiwei Zhong, Ting Liang, Jinghua Feng, Xiang Ao, Jiayu Tang

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

PolicyQA: A Reading Comprehension Dataset for Privacy Policies.

Wasi Uddin Ahmad, Jianfeng Chi, Yuan Tian, Kai-Wei Chang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

2019

Adversarial Task-Specific Privacy Preservation under Attribute Attack.

Han Zhao, Jianfeng Chi, Yuan Tian, Geoffrey J. Gordon

CoRR, 2019

Side Channel Attacks in Computation Offloading Systems with GPU Virtualization.

Sihang Liu, Yizhou Wei, Jianfeng Chi, Faysal Hossain Shezan, Yuan Tian

Proceedings of the 2019 IEEE Security and Privacy Workshops, 2019

Inquiry Spam Detection via Jointly Exploiting Temporal-Categorical Behavior and Linguistics.

Qiwei Zhong, Jiayu Tang, Jinghua Feng, Jianfeng Chi

Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

2018

Privacy Partitioning: Protecting User Data During the Deep Learning Inference Phase.

Jianfeng Chi, Emmanuel Owusu, Xuwang Yin, Tong Yu, William Chan, Patrick Tague, Yuan Tian

CoRR, 2018

Privacy Partition: A Privacy-Preserving Framework for Deep Neural Networks in Edge Networks.

Jianfeng Chi, Emmanuel Owusu, Xuwang Yin, Tong Yu, William Chan, Yiming Liu, Haodong Liu, Jiasen Chen, Swee Sim, Vibha Iyengar, Patrick Tague, Yuan Tian

Proceedings of the 2018 IEEE/ACM Symposium on Edge Computing, 2018