Be Your Own Neighborhood: Detecting Adversarial Examples by the Neighborhood Relations Built on Self-Supervised Learning
- Zhiyuan He
- Yijun Yang
- et al.
- 2024
- ICML 2024
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14 results for Tsung-yi Ho
The Devil is in the Neurons: Interpreting and Mitigating Social Biases in Language Models
- Yan Liu
- Yu Liu
- et al.
- 2024
- ICLR 2024
AutoVP: An Automated Visual Prompting Framework and Benchmark
- Hsi-ai Tsao
- Lei Hsiung
- et al.
- 2024
- ICLR 2024
Rethinking Backdoor Attacks on Dataset Distillation: A Kernel Method Perspective
- Ming-yu Chung
- Sheng-yen Chou
- et al.
- 2024
- ICLR 2024
Elijah: Eliminating Backdoors Injected in Diffusion Models via Distribution Shift
- Shengwei An
- Sheng-yen Chou
- et al.
- 2024
- AAAI 2024
VillanDiffusion: A Unified Backdoor Attack Framework for Diffusion Models
- Sheng-yen Cho
- Pin-Yu Chen
- et al.
- 2023
- NeurIPS 2023
RADAR: Robust AI-Text Detection via Adversarial Learning
- Xiaomeng Hu
- Pin-Yu Chen
- et al.
- 2023
- NeurIPS 2023
Uncovering and Quantifying Social Biases in Code Generation
- Yan Liu
- Xiaokang Chen
- et al.
- 2023
- NeurIPS 2023
NCTV: Neural Clamping Toolkit and Visualization for Neural Network Calibration
- Lei Hsiung
- Yung-chen Tang
- et al.
- 2023
- AAAI 2023
NeuralFuse: Improving the Accuracy of Access-Limited Neural Network Inference in Low-Voltage Regimes
- Hao-lun Sun
- Lei Hsiung
- et al.
- 2022
- NeurIPS 2022