Jiefeng Chen | DeepAI

AI Chat

Featured Co-authors

Bo Li
461 publications
Jun Zhao
175 publications
Somesh Jha
68 publications
Tomas Pfister
48 publications
Yingyu Liang
38 publications
Wei Tang
36 publications
Jinsung Yoon
32 publications
Atul Prakash
24 publications
Sayna Ebrahimi
19 publications
Tao Bai
16 publications
Alex Kot
15 publications

∙ 04/07/2023

ASPEST: Bridging the Gap Between Active Learning and Selective Prediction

Selective prediction aims to learn a reliable model that abstains from m...

2 Jiefeng Chen, et al. ∙

∙ 03/14/2023

Is forgetting less a good inductive bias for forward transfer?

One of the main motivations of studying continual learning is that the p...

0 Jiefeng Chen, et al. ∙

∙ 03/04/2022

Concept-based Explanations for Out-Of-Distribution Detectors

Out-of-distribution (OOD) detection plays a crucial role in ensuring the...

1 Jihye Choi, et al. ∙

∙ 11/19/2021

Towards Efficiently Evaluating the Robustness of Deep Neural Networks in IoT Systems: A GAN-based Method

Intelligent Internet of Things (IoT) systems based on deep neural networ...

1 Tao Bai, et al. ∙

∙ 02/17/2020

Query-Efficient Physical Hard-Label Attacks on Deep Learning Visual Classification

We present Survival-OPT, a physical adversarial example algorithm in the...

5 Ryan Feng, et al. ∙

∙ 02/06/2020

AI-GAN: Attack-Inspired Generation of Adversarial Examples

Adversarial examples that can fool deep models are mainly crafted by add...

21 Tao Bai, et al. ∙

∙ 05/23/2019

Robust Attribution Regularization

An emerging problem in trustworthy machine learning is to train models t...

4 Jiefeng Chen, et al. ∙

∙ 05/20/2018

Improving Adversarial Robustness by Data-Specific Discretization

A recent line of research proposed (either implicitly or explicitly) gra...

0 Jiefeng Chen, et al. ∙

∙ 12/21/2017

ReabsNet: Detecting and Revising Adversarial Examples

Though deep neural network has hit a huge success in recent studies and ...

0 Jiefeng Chen, et al. ∙

Are you a researcher?
Expose your work
to one of the largest
A.I. communities in the world