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20192023
most citedTowards Evaluating the Robustness of Deep Diagnostic Models by Adversarial Attack

58 citations · 111 across the 21 of their papers we have counts for

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Showing 2023Show all

5 papers · 1 filter

cs.RO2023

i-Octree: A Fast, Lightweight, and Dynamic Octree for Proximity Search

Jun Zhu, Hongyi Li, Zhepeng Wang +2

Establishing the correspondences between newly acquired points and historically accumulated data (i.e., map) through nearest neighbors search is crucial in numerous robotic applica…

cs.CL2023

A Positive-Unlabeled Metric Learning Framework for Document-Level Relation Extraction with Incomplete Labeling

Ye Wang, Huazheng Pan, Tao Zhang +2

The goal of document-level relation extraction (RE) is to identify relations between entities that span multiple sentences. Recently, incomplete labeling in document-level RE has r…

cs.AI2023

Three-way causal attribute partial order structure analysis

Xue Zaifa, Lu Huibin, Zhang Tao +2

As an emerging concept cognitive learning model, partial order formal structure analysis (POFSA) has been widely used in the field of knowledge processing. In this paper, we propos…

cs.RO2023

Efficient Exploration Using Extra Safety Budget in Constrained Policy Optimization

Haotian Xu, Shengjie Wang, Zhaolei Wang +4

Reinforcement learning (RL) has achieved promising results on most robotic control tasks. Safety of learning-based controllers is an essential notion of ensuring the effectiveness…

cs.CV2023★ 11 cited

Adversarial Attack with Raindrops

Jiyuan Liu, Bingyi Lu, Mingkang Xiong +2

Deep neural networks (DNNs) are known to be vulnerable to adversarial examples, which are usually designed artificially to fool DNNs, but rarely exist in real-world scenarios. In t…