This is your work, valued

Singapore

Yige Li

Expert
@bboylyg

Postdoctoral Fellow, Singapore Management University

BackdoorLLM. [NeurIPS 2025] BackdoorLLM: A Comprehensive Benchmark for Backdoor Attacks and Defenses on Large Language Models

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NAD. This is an implementation demo of the ICLR 2021 paper [Neural Attention Distillation: Erasing Backdoor Triggers from Deep Neural Networks](https://openreview.net/pdf?id=9l0K4OM-oXE) in PyTorch.

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ABL. Anti-Backdoor learning (NeurIPS 2021)

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RNP. Reconstructive Neuron Pruning for Backdoor Defense (ICML 2023)

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Multi-Trigger-Backdoor-Attacks. [IEEE TDSC] Shortcuts Everywhere and Nowhere: Exploring Multi-Trigger Backdoor Attacks

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Ensemble_CNN_Models_For_Classification. Ensemble_CNN _Models_For_Classification.

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Expose-Before-You-Defend. Expose Before You Defend: Unifying and Enhancing Backdoor Defenses via Exposed Models

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AutoBackdoor. “AI model poisoning industry” (highlighted in the 315 consumer protection program) shows that manipulating AI outputs via crafted content is no longer theoretical.

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backdoorllm-website.github.io. JavaScript

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