Yuxin Wen | DeepAI

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∙ 02/07/2023

Hard Prompts Made Easy: Gradient-Based Discrete Optimization for Prompt Tuning and Discovery

The strength of modern generative models lies in their ability to be con...

12 Yuxin Wen, et al. ∙

∙ 01/24/2023

A Watermark for Large Language Models

Potential harms of large language models can be mitigated by watermarkin...

3 John Kirchenbauer, et al. ∙

∙ 10/19/2022

Canary in a Coalmine: Better Membership Inference with Ensembled Adversarial Queries

As industrial applications are increasingly automated by machine learnin...

0 Yuxin Wen, et al. ∙

∙ 10/17/2022

Thinking Two Moves Ahead: Anticipating Other Users Improves Backdoor Attacks in Federated Learning

Federated learning is particularly susceptible to model poisoning and ba...

6 Yuxin Wen, et al. ∙

∙ 05/05/2022

Surface Reconstruction from Point Clouds: A Survey and a Benchmark

Reconstruction of a continuous surface of two-dimensional manifold from ...

44 Zhangjin Huang, et al. ∙

∙ 02/01/2022

Fishing for User Data in Large-Batch Federated Learning via Gradient Magnification

Federated learning (FL) has rapidly risen in popularity due to its promi...

0 Yuxin Wen, et al. ∙

∙ 01/29/2022

Decepticons: Corrupted Transformers Breach Privacy in Federated Learning for Language Models

A central tenet of Federated learning (FL), which trains models without ...

0 Liam Fowl, et al. ∙

∙ 09/27/2021

Machine Learning based Medical Image Deepfake Detection: A Comparative Study

Deep generative networks in recent years have reinforced the need for ca...

0 Siddharth Solaiyappan, et al. ∙

∙ 12/14/2020

Sign-Agnostic Implicit Learning of Surface Self-Similarities for Shape Modeling and Reconstruction from Raw Point Clouds

Shape modeling and reconstruction from raw point clouds of objects stand...

0 Wenbin Zhao, et al. ∙

∙ 12/14/2020

Deep Optimized Priors for 3D Shape Modeling and Reconstruction

Many learning-based approaches have difficulty scaling to unseen data, a...

0 Mingyue Yang, et al. ∙

∙ 11/15/2020

Towards Understanding the Regularization of Adversarial Robustness on Neural Networks

The problem of adversarial examples has shown that modern Neural Network...

0 Yuxin Wen, et al. ∙

∙ 12/24/2019

Geometry-aware Generation of Adversarial and Cooperative Point Clouds

Recent studies show that machine learning models are vulnerable to adver...

23 Yuxin Wen, et al. ∙

∙ 05/15/2019

Orthogonal Deep Neural Networks

In this paper, we introduce the algorithms of Orthogonal Deep Neural Net...

6 Kui Jia, et al. ∙