Pin-Yu Chen

19
Papers
245
Total Citations

Papers (19)

Ring-A-Bell! How Reliable are Concept Removal Methods For Diffusion Models?

ICLR 2024
162
citations

Large Language Models are Efficient Learners of Noise-Robust Speech Recognition

ICLR 2024
36
citations

It's Never Too Late: Fusing Acoustic Information into Large Language Models for Automatic Speech Recognition

ICLR 2024
32
citations

From PEFT to DEFT: Parameter Efficient Finetuning for Reducing Activation Density in Transformers

AAAI 2025
8
citations

PSBD: Prediction Shift Uncertainty Unlocks Backdoor Detection

CVPR 2025arXiv
4
citations

Large Language Models can Become Strong Self-Detoxifiers

ICLR 2025
3
citations

Revisiting Zeroth-Order Optimization for Memory-Efficient LLM Fine-Tuning: A Benchmark

ICML 2024
0
citations

What Improves the Generalization of Graph Transformers? A Theoretical Dive into the Self-attention and Positional Encoding

ICML 2024
0
citations

How Do Nonlinear Transformers Learn and Generalize in In-Context Learning?

ICML 2024
0
citations

Learning Optimal Projection for Forecast Reconciliation of Hierarchical Time Series

ICML 2024
0
citations

Prompting4Debugging: Red-Teaming Text-to-Image Diffusion Models by Finding Problematic Prompts

ICML 2024
0
citations

Larimar: Large Language Models with Episodic Memory Control

ICML 2024
0
citations

What Would Gauss Say About Representations? Probing Pretrained Image Models using Synthetic Gaussian Benchmarks

ICML 2024
0
citations

Position: TrustLLM: Trustworthiness in Large Language Models

ICML 2024
0
citations

Elijah: Eliminating Backdoors Injected in Diffusion Models via Distribution Shift

AAAI 2024arXiv
0
citations

Overload: Latency Attacks on Object Detection for Edge Devices

CVPR 2024
0
citations

A Provably Effective Method for Pruning Experts in Fine-tuned Sparse Mixture-of-Experts

ICML 2024
0
citations

Be Your Own Neighborhood: Detecting Adversarial Examples by the Neighborhood Relations Built on Self-Supervised Learning

ICML 2024
0
citations

SF-DQN: Provable Knowledge Transfer using Successor Feature for Deep Reinforcement Learning

ICML 2024
0
citations