Daniel Kang
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
25
Venues
11
Active years
2005–2026
Best venue rank
A*
Where they publish
Papers
25 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | MM-PoisonRAG: Disrupting Multimodal RAG with Local and Global Knowledge Poisoning Attacks. | Hyeonjeong Ha, Qiusi Zhan, Jeonghwan Kim, Dimitrios Bralios, Saikrishna Sanniboina, Nanyun Peng, Kai-Wei Chang, Daniel Kang, Heng Ji |
| 2026 | CIDR | Text-to-SQL Benchmarks are Broken: An In-Depth Analysis of Annotation Errors. | Tengjun Jin, Yoojin Choi, Yuxuan Zhu, Daniel Kang |
| 2026 | EACL | SafeSearch: Do Not Trade Safety for Utility in LLM Search Agents. | Qiusi Zhan, Angeline Budiman-Chan, Abdelrahman Zayed, Xingzhi Guo, Daniel Kang, Joo-Kyung Kim |
| 2026 | EACL | Teams of LLM Agents can Exploit Zero-Day Vulnerabilities. | Yuxuan Zhu, Antony Kellermann, Akul Gupta, Philip Li, Richard Fang, Rohan Bindu, Daniel Kang |
| 2025 | ACL | REPRO-Bench: Can Agentic AI Systems Assess the Reproducibility of Social Science Research? | Chuxuan Hu, Liyun Zhang, Yeji Lim, Aum Wadhwani, Austin Peters, Daniel Kang |
| 2025 | ACL | UTBoost: Rigorous Evaluation of Coding Agents on SWE-Bench. | Boxi Yu, Yuxuan Zhu, Pinjia He, Daniel Kang |
| 2025 | CIDR | Efficient Approximate Query Processing with Block Sampling. | Yuxuan Zhu, Daniel Kang |
| 2025 | ICML | CVE-Bench: A Benchmark for AI Agents' Ability to Exploit Real-World Web Application Vulnerabilities. | Yuxuan Zhu, Antony Kellermann, Dylan Bowman, Philip Li, Akul Gupta, Adarsh Danda, Richard Fang, Conner Jensen, Eric Ihli, Jason Benn, Jet Geronimo, Avi Dhir, Sudhit Rao, Kaicheng Yu, Twm Stone, Daniel Kang |
| 2025 | NAACL | Adaptive Attacks Break Defenses Against Indirect Prompt Injection Attacks on LLM Agents. | Qiusi Zhan, Richard Fang, Henil Shalin Panchal, Daniel Kang |
| 2024 | ACL | InjecAgent: Benchmarking Indirect Prompt Injections in Tool-Integrated Large Language Model Agents. | Qiusi Zhan, Zhixiang Liang, Zifan Ying, Daniel Kang |
| 2024 | EuroSys | ZKML: An Optimizing System for ML Inference in Zero-Knowledge Proofs. | Bing-Jyue Chen, Suppakit Waiwitlikhit, Ion Stoica, Daniel Kang |
| 2024 | ICML | Position: A Safe Harbor for AI Evaluation and Red Teaming. | Shayne Longpre, Sayash Kapoor, Kevin Klyman, Ashwin Ramaswami, Rishi Bommasani, Borhane Blili-Hamelin, Yangsibo Huang, Aviya Skowron, Zheng Xin Yong, Suhas Kotha, Yi Zeng, Weiyan Shi, Xianjun Yang, Reid Southen, Alexander Robey, Patrick Chao, Diyi Yang, Ruoxi Jia, Daniel Kang, Sandy Pentland, Arvind Narayanan, Percy Liang, Peter Henderson |
| 2024 | ICML | Trustless Audits without Revealing Data or Models. | Suppakit Waiwitlikhit, Ion Stoica, Yi Sun, Tatsunori Hashimoto, Daniel Kang |
| 2024 | NAACL | Removing RLHF Protections in GPT-4 via Fine-Tuning. | Qiusi Zhan, Richard Fang, Rohan Bindu, Akul Gupta, Tatsunori Hashimoto, Daniel Kang |
| 2024 | SP | Exploiting Programmatic Behavior of LLMs: Dual-Use Through Standard Security Attacks. | Daniel Kang, Xuechen Li, Ion Stoica, Carlos Guestrin, Matei Zaharia, Tatsunori Hashimoto |
| 2023 | ICCV | Q-Diffusion: Quantizing Diffusion Models. | Xiuyu Li, Yijiang Liu, Long Lian, Huanrui Yang, Zhen Dong, Daniel Kang, Shanghang Zhang, Kurt Keutzer |
| 2022 | CIDR | VIVA: An End-to-End System for Interactive Video Analytics. | Daniel Kang, Francisco Romero, Peter D. Bailis, Christos Kozyrakis, Matei Zaharia |
| 2022 | SIGMOD | Finding Label and Model Errors in Perception Data With Learned Observation Assertions. | Daniel Kang, Nikos Archiga, Sudeep Pillai, Peter D. Bailis, Matei Zaharia |
| 2022 | SIGMOD | TASTI: Semantic Indexes for Machine Learning-based Queries over Unstructured Data. | Daniel Kang, John Guibas, Peter D. Bailis, Tatsunori Hashimoto, Matei Zaharia |
| 2021 | CIDR | Accelerating Queries over Unstructured Data with ML. | Daniel Kang |
| 2020 | ACL | Improved Natural Language Generation via Loss Truncation. | Daniel Kang, Tatsunori Hashimoto |
| 2019 | CIDR | Challenges and Opportunities in DNN-Based Video Analytics: A Demonstration of the BlazeIt Video Query Engine. | Daniel Kang, Peter Bailis, Matei Zaharia |
| 2019 | ICML | LIT: Learned Intermediate Representation Training for Model Compression. | Animesh Koratana, Daniel Kang, Peter Bailis, Matei Zaharia |
| 2014 | AAAI | Predictive Models for Determining If and When to Display Online Lead Forms. | Tim Chan, Joseph I, Carlos Macasaet, Daniel Kang, Robert M. Hardy, Carlos Ruiz, Rigel Porras, Brian Baron, Karim Qazi, Padraic Hannon, Tomonori Honda |
| 2005 | CIS | Efficient Point Rendering Method Using Sequential Level-of-Detail. | Daniel Kang, Byeong-Seok Shin |