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most citedRing-A-Bell! How Reliable are Concept Removal Methods for Diffusion Models?

4 citations · 12 across the 19 of their papers we have counts for

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cs.LG2025

Model Reprogramming Demystified: A Neural Tangent Kernel Perspective

Ming-Yu Chung, Jiashuo Fan, Hancheng Ye +5

Model Reprogramming (MR) is a resource-efficient framework that adapts large pre-trained models to new tasks with minimal additional parameters and data, offering a promising solut…

cs.LG2025

BADTV: Unveiling Backdoor Threats in Third-Party Task Vectors

Chia-Yi Hsu, Yu-Lin Tsai, Yu Zhe +6

Task arithmetic in large-scale pre-trained models enables agile adaptation to diverse downstream tasks without extensive retraining. By leveraging task vectors (TVs), users can per…

cs.LG2024★ 3 cited

Safe LoRA: the Silver Lining of Reducing Safety Risks when Fine-tuning Large Language Models

Chia-Yi Hsu, Yu-Lin Tsai, Chih-Hsun Lin +3

While large language models (LLMs) such as Llama-2 or GPT-4 have shown impressive zero-shot performance, fine-tuning is still necessary to enhance their performance for customized…

cs.LG2023

Rethinking Backdoor Attacks on Dataset Distillation: A Kernel Method Perspective

Ming-Yu Chung, Sheng-Yen Chou, Chia-Mu Yu +3

Dataset distillation offers a potential means to enhance data efficiency in deep learning. Recent studies have shown its ability to counteract backdoor risks present in original tr…

cs.LG2023★ 4 cited

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

Yu-Lin Tsai, Chia-Yi Hsu, Chulin Xie +6

Diffusion models for text-to-image (T2I) synthesis, such as Stable Diffusion (SD), have recently demonstrated exceptional capabilities for generating high-quality content. However,…

cs.LG2023

Exploring the Benefits of Differentially Private Pre-training and Parameter-Efficient Fine-tuning for Table Transformers

Xilong Wang, Chia-Mu Yu, Pin-Yu Chen

For machine learning with tabular data, Table Transformer (TabTransformer) is a state-of-the-art neural network model, while Differential Privacy (DP) is an essential component to…

cs.LG2021★ 3 cited

Meta Adversarial Perturbations

Chia-Hung Yuan, Pin-Yu Chen, Chia-Mu Yu

A plethora of attack methods have been proposed to generate adversarial examples, among which the iterative methods have been demonstrated the ability to find a strong attack. Howe…