Tianlin Li

Tianlin Li

AI&SE Researcher

About me

I’m a research student at the School of Computer Science and Engineering at Nanyang Technological University under the supervision of Prof. Liu Yang. I have been awarded third place in the AISG Trusted Media Challenge, receiving a cash prize of 25,000 SGD, along with the AISG PhD Fellowship and the DAAD AInet Fellowship. I feel fortunate to have the opportunity to work with Tianyu Pang, Chao Du, Qian Liu, and Min Lin at Sea AI Lab.

My research is centered on developing trustworthy intelligent software, particularly leveraging software engineering (SE) principles. Key areas of interest include:

I am currently focusing on training code LLMs to integrate more SE knowledge. I welcome feedback, support, or collaboration opportunities from others in the field to help refine and advance this work further.

News

  •   Mar 2025: Our paper “Compromising embodied agents with contextual backdoor attacks” is accepted by TIFS 2025.
  •   Mar 2025: Our paper “NeuSemSlice: Towards Effective DNN Model Maintenance via Neuron-level Semantic Slicing” is accepted by TOSEM 2025.
  •   Mar 2025: Our paper “JailGuard: A Universal Detection Framework for Prompt-based Attacks on LLM Systems” is accepted by TOSEM 2025.
  •   Jan 2025: Our paper “Dormant: Defending against Pose-driven Human Image Animation” is accepted by USENIX Security 2025.
  •   Jan 2025: Our paper “Speculative Coreset Selection for Task-Specific Fine-tuning” is accepted by ICLR 2025.
  •   Jan 2025: Our paper “Understanding the Effectiveness of Coverage Criteria for Large Language Models: A Special Angle from Jailbreak Attacks” is accepted by ICSE 2025.
  •   Jan 2025: Our paper “Dissecting Global Search: A Simple yet Effective Method to Boost Individual Discrimination Testing and Repair” is accepted by ICSE 2025.
  •   Jan 2025: Our paper, “Perception-Guided Jailbreak Against Text-to-Image Models,” has been selected for an oral presentation at AAAI 2025.
  •   Jan 2025: Our paper “Teaching Code LLMs to Use Autocompletion Tools in Repository-Level Code Generation” is accepted by TOSEM 2025.
  •   Dec 2024: Our paper “Towards Trustworthy LLMs for Code: A Data-Centric Synergistic Auditing Framework” is accepted by ICSE 2025 NIER track.
  •   Dec 2024: Our paper “Perception-guided jailbreak against text-to-image models” is accepted by AAAI 2025.
  •   Nov 2024: I have been selected as one of the top reviewers for NeurIPS 2024 (1304/15160 8.6%).
  •   Nov 2024: We won the championship in the NTU 2024 Staff 3x3 Basketball Tournament and achieved 1st runner-up in the 2024 Sports Challenge Basketball Event.
  •   Oct 2024: Our paper “BDefects4NN: A Backdoor Defect Database for Controlled Localization Studies in Neural Networks” is accepted by ICSE 2025. Congrats to Yisong!
  •   Sept 2024: Our paper “SampDetox: Black-box Backdoor Defense via Perturbation-based Sample Detoxification” is accepted by NeurIPS 2024.
  •   Aug 2024: Our paper “VulAdvisor: Natural Language Suggestion Generation for Software Vulnerability Repair” is accepted by ASE 2024.
  •   July 2024: Our paper “CaBaFL: Asynchronous Federated Learning via Hierarchical Cache and Feature Balance” is accepted by EMSOFT 2024 and TCAD.
  •   May 2024: Our paper “Improving Neural Logic Machines via Failure Reflection” is accepted by ICML 2024. Congrats to Zhiming!
  •   April 2024: I get the DAAD AInet Fellowship.
  •   Feb 2024: Our paper “Unveiling project-specific bias in neural code models” is accepted by COLING 2024.
  •   Feb 2024: Our paper “BadEdit: Backdooring Large Language Models by Model Editing” is accepted by ICLR 2024.
  •   Feb 2024: Our paper “IRAD: Implicit Representation-driven Image Resampling against Adversarial Attacks” is accepted by ICLR 2024.
  •   Dec 2023: Our paper “FedMut: Generalized Federated Learning via Stochastic Mutation” is accepted by AAAI 2024 (oral).
  •   Dec 2023: Our paper “Personalization as a Shortcut for Few-Shot Backdoor Attack against Text-to-Image Diffusion Model” is accepted by AAAI 2024.