Pin-Yu Chen
- Papers
- 36
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Authored papers
36From Static Templates to Dynamic Runtime Graphs: A Survey of Workflow Optimization for LLM Agents
arXiv 2026
One Turn Too Late: Response-Aware Defense Against Hidden Malicious Intent in Multi-Turn Dialogue
arXiv 2026
Emergent Social Intelligence Risks in Generative Multi-Agent Systems
arXiv 2026
Adversarial Prompt Evaluation: Systematic Benchmarking of Guardrails Against Prompt Input Attacks on LLMs
arXiv 2025
STAR: Spectral Truncation and Rescale for Model Merging
arXiv 2025
On the Trustworthiness of Generative Foundation Models: Guideline, Assessment, and Perspective
arXiv 2025
The Trojan Knowledge: Bypassing Commercial LLM Guardrails via Harmless Prompt Weaving and Adaptive Tree Search
arXiv 2025
Building a Foundational Guardrail for General Agentic Systems via Synthetic Data
arXiv 2025
Measuring the Robustness of Audio Deepfake Detection under Real-World Corruption
arXiv 2025
TrustLLM: Trustworthiness in Large Language Models
arXiv 2024
Attention Tracker: Detecting Prompt Injection Attacks in LLMs
arXiv 2024
Larimar: Large Language Models with Episodic Memory Control
arXiv 2024
Navigating the Safety Landscape: Measuring Risks in Finetuning Large Language Models
arXiv 2024
From PEFT to DEFT: Parameter Efficient Finetuning for Reducing Activation Density in Transformers
arXiv 2024
Large Language Models are Efficient Learners of Noise-Robust Speech Recognition
arXiv 2024
Revisiting Zeroth-Order Optimization for Memory-Efficient LLM Fine-Tuning: A Benchmark
arXiv 2024
Breaking Free: How to Hack Safety Guardrails in Black-Box Diffusion Models!
arXiv 2024
DDI-CoCo: A Dataset For Understanding The Effect Of Color Contrast In Machine-Assisted Skin Disease Detection
arXiv 2024
AutoVP: An Automated Visual Prompting Framework and Benchmark
arXiv 2023
Patch-level Routing in Mixture-of-Experts is Provably Sample-efficient for Convolutional Neural Networks
arXiv 2023
NeuralFuse: Learning to Recover the Accuracy of Access-Limited Neural Network Inference in Low-Voltage Regimes
arXiv 2023
Uncovering the Hidden Cost of Model Compression
arXiv 2023
HyPoradise: An Open Baseline for Generative Speech Recognition with Large Language Models
hyporadise-an-open-baseline-for-generative
Robust Mixture-of-Expert Training for Convolutional Neural Networks
ICCV 2023 1
Prompting4Debugging: Red-Teaming Text-to-Image Diffusion Models by Finding Problematic Prompts
arXiv 2023
GREAT Score: Global Robustness Evaluation of Adversarial Perturbation using Generative Models
arXiv 2023
Exploring the Benefits of Differentially Private Pre-training and Parameter-Efficient Fine-tuning for Table Transformers
arXiv 2023
Exploring the Benefits of Visual Prompting in Differential Privacy
ICCV 2023 1
Fine-tuning Aligned Language Models Compromises Safety, Even When Users Do Not Intend To!
arXiv 2023
Reprogramming Pretrained Language Models for Antibody Sequence Infilling
arXiv 2022
Visual Prompting for Adversarial Robustness
arXiv 2022
FLIP: A Provable Defense Framework for Backdoor Mitigation in Federated Learning
arXiv 2022
Neural Clamping: Joint Input Perturbation and Temperature Scaling for Neural Network Calibration
arXiv 2022
Better May Not Be Fairer: A Study on Subgroup Discrepancy in Image Classification
ICCV 2023 1
Auto-Transfer: Learning to Route Transferrable Representations
arXiv 2022
Vision Transformers are Robust Learners
arXiv 2021
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