Ping-Yeh Chiang

According to our database1, Ping-Yeh Chiang authored at least 21 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
NEFTune: Noisy Embeddings Improve Instruction Finetuning.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
Reliability of Machine Learning Models in the Real World.
PhD thesis, 2023

Universal Pyramid Adversarial Training for Improved ViT Performance.
CoRR, 2023

Baseline Defenses for Adversarial Attacks Against Aligned Language Models.
CoRR, 2023

Loss Landscapes are All You Need: Neural Network Generalization Can Be Explained Without the Implicit Bias of Gradient Descent.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022
K-SAM: Sharpness-Aware Minimization at the Speed of SGD.
CoRR, 2022

Certified Neural Network Watermarks with Randomized Smoothing.
Proceedings of the International Conference on Machine Learning, 2022

Can Neural Nets Learn the Same Model Twice? Investigating Reproducibility and Double Descent from the Decision Boundary Perspective.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Active Learning at the ImageNet Scale.
CoRR, 2021

Preventing Unauthorized Use of Proprietary Data: Poisoning for Secure Dataset Release.
CoRR, 2021

Adversarial Examples Make Strong Poisons.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

WrapNet: Neural Net Inference with Ultra-Low-Precision Arithmetic.
Proceedings of the 9th International Conference on Learning Representations, 2021

2020
ProportionNet: Balancing Fairness and Revenue for Auction Design with Deep Learning.
CoRR, 2020

WrapNet: Neural Net Inference with Ultra-Low-Resolution Arithmetic.
CoRR, 2020

Detection as Regression: Certified Object Detection by Median Smoothing.
CoRR, 2020

Improving the Tightness of Convex Relaxation Bounds for Training Certifiably Robust Classifiers.
CoRR, 2020

Certifying Strategyproof Auction Networks.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Detection as Regression: Certified Object Detection with Median Smoothing.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Certified Defenses for Adversarial Patches.
Proceedings of the 8th International Conference on Learning Representations, 2020

Witchcraft: Efficient PGD Attacks with Random Step Size.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019
Compressing GANs using Knowledge Distillation.
CoRR, 2019


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