Daniel Kang
Assistant Professor
Studies systems for machine learning analytics and the safety of AI agents, including benchmarks for LLM agent capabilities.
Daniel Kang's lab at UIUC works on efficient training & inference and data management & big data. 35 papers since 2023, 20 at top venues, mostly VLDB and ACL. Applications close .
At a glance
- papers, 2023–2026
- 9/ year
- at T1 venues
- 57%
- PhD students
- —
- MS students
- —
- alumni listed
- —
Papers by yearfrom the lab homepage, 2023–2026
- 14 papers2026 · T1 8 · collecting
- 8 papers2025 · T1 5
- 8 papers2024 · T1 4
- 5 papers2023 · T1 3
T1 venuesOtherVenues: VLDB, ACL, ICLR, SIGMOD, EACL
Research focuspaper titles that use each topic's words
- Data management & big data6 papers
- Efficient training & inference4 papers
- benchmarks3 papers
- capabilities0 papers
- learning analytics0 papers
Paper list
From the lab homepage.
202614 papers
- SIGMOD (T1)Accelerating Approximate Analytical Join Queries over Unstructured Data with Statistical Guarantees (opens in a new tab)
- ICLR (T1)BEAT: Visual Backdoor Attacks on VLM-based Embodied Agents via Contrastive Trigger Learning (opens in a new tab)
- CAIS demoBehavioral Fingerprints for LLM Endpoint Stability and Identity (opens in a new tab)
- ICLR (T1)Breaking Barriers: Do Reinforcement Post Training Gains Transfer To Unseen Domains? (opens in a new tab)
- ICML spotlightCharacterizing Agents in Production
- ICML TAIGR workshopCove: Compositional Multi-Party Confidential Workflows for Verifiable AI Governance (opens in a new tab)
- SIGMOD (T1)DRAMA: Unifying Data Retrieval and Analysis for Open-Domain Analytic Queries (opens in a new tab)
- VLDB (T1)ELT-Bench: An End-to-End Benchmark for Evaluating AI Agents on ELT Pipelines (opens in a new tab)
- ICLR (T1)Holistic Agent Leaderboard: The Missing Infrastructure for AI Agent Evaluation (opens in a new tab)
- ACL (T1)MM-PoisonRAG: Disrupting Multimodal RAG with Local and Global Knowledge Poisoning Attacks (opens in a new tab)
- VLDB (T1)Pervasive Annotation Errors Break Text-to-SQL Benchmarks and Leaderboards (opens in a new tab)
- EACLSafeSearch: Do Not Trade Safety for Utility in LLM Search Agents (opens in a new tab)
20258 papers
- NAACL WorkshopAdaptive Attacks Break Defenses Against Indirect Prompt Injection Attacks on LLM Agents (opens in a new tab)
- ICML spotlight, SafeBench winner, place at Berkeley AgentX SummitCVE-Bench: A Benchmark for AI Agents’ Ability to Exploit Real-World Web Application Vulnerabilities (opens in a new tab)
- CIDREfficient Approximate Query Processing with Block Sampling (opens in a new tab)
- NeurIPS (T1)Establishing Best Practices for Building Rigorous Agentic Benchmarks (opens in a new tab)
- VLDB (T1)LEAP: LLM-powered End-to-end Automatic Library for Processing Social Science Queries on Unstructured Data (opens in a new tab)
- SIGMOD (T1)PilotDB: Database-Agnostic Online Approximate Query Processing with A Priori Error Guarantees (opens in a new tab)
- ACL (T1)REPRO-Bench: Can Agentic AI Systems Assess the Reproducibility of Social Science Research? (opens in a new tab)
- ACL (T1)UTBoost: Rigorous Evaluation of Coding Agents on SWE-Bench (opens in a new tab)
20248 papers
- ICML (T1)A Safe Harbor for AI Evaluation and Red Teaming (opens in a new tab)
- DEEM @ SIGMODAIDB: a Sparsely Materialized Database for Queries Using Machine Learning (opens in a new tab)
- ACM/IMS Journal of Data ScienceData Management for ML-based Analytics and Beyond (opens in a new tab)
- Findings of ACLInjecAgent: Benchmarking Indirect Prompt Injections in Tool-Integrated Large Language Model Agents (opens in a new tab)
- NAACL (T1)Removing RLHF Protections in GPT-4 via Fine-Tuning (opens in a new tab)
- DEEM @ SIGMODtailwiz: Empowering Domain Experts with Easy-to-Use, Task-Specific Natural Language Processing Models (opens in a new tab)
- ICML (T1)Trustless Audits without Revealing Data or Models (opens in a new tab)
- EuroSys (T1)ZKML: An Optimizing System for ML Inference in Zero-Knowledge Proofs (opens in a new tab)
20235 papers
- VLDB (T1)Accelerating Aggregation Queries on Unstructured Streams of Data (opens in a new tab)
- ICML AdvML Frontiers WorkshopExploiting Programmatic Behavior of LLMs: Dual-Use Through Standard Security Attacks (opens in a new tab)
- VLDB (T1)Optimizing Video Analytics with Declarative Model Relationships (opens in a new tab)
- ICCV (T1)Q-Diffusion: Quantizing Diffusion Models (opens in a new tab)
- NeurIPS RegulateML WorkshopScaling up Trustless DNN Inference with Zero-Knowledge Proofs (opens in a new tab)
Where alumni went
Alumni are not listed on the lab homepage.
Apply to UIUCFall 2027
UIUC Siebel Computer Science PhD
- Round
- Single round
- Opens
- —
- GRE
- optional
- English
- TOEFL iBT / IELTS
- Fee
- USD 90
Not yet confirmed for this intake.
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Data
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