most citedFishFuzz: Throwing Larger Nets to Catch Deeper Bugs

3 citations · 8 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2023

Privacy-preserving Adversarial Facial Features

Zhibo Wang, He Wang, Shuaifan Jin +7

Face recognition service providers protect face privacy by extracting compact and discriminative facial features (representations) from images, and storing the facial features for…

cs.CV2023

DiGA: Distil to Generalize and then Adapt for Domain Adaptive Semantic Segmentation

Fengyi Shen, Akhil Gurram, Ziyuan Liu +2

Domain adaptive semantic segmentation methods commonly utilize stage-wise training, consisting of a warm-up and a self-training stage. However, this popular approach still faces se…

cs.RO20232 cited

UniDexGrasp++: Improving Dexterous Grasping Policy Learning via Geometry-aware Curriculum and Iterative Generalist-Specialist Learning

Weikang Wan, Haoran Geng, Yun Liu +4

We propose a novel, object-agnostic method for learning a universal policy for dexterous object grasping from realistic point cloud observations and proprioceptive information unde…

eess.AS2023

The NPU-ASLP System for Audio-Visual Speech Recognition in MISP 2022 Challenge

Pengcheng Guo, He Wang, Bingshen Mu +2

This paper describes our NPU-ASLP system for the Audio-Visual Diarization and Recognition (AVDR) task in the Multi-modal Information based Speech Processing (MISP) 2022 Challenge.…

cs.CV20233 cited

Self-Supervised Category-Level Articulated Object Pose Estimation with Part-Level SE(3) Equivariance

Xueyi Liu, Ji Zhang, Ruizhen Hu +3

Category-level articulated object pose estimation aims to estimate a hierarchy of articulation-aware object poses of an unseen articulated object from a known category. To reduce t…

cs.CR20223 cited

FishFuzz: Throwing Larger Nets to Catch Deeper Bugs

Han Zheng, Jiayuan Zhang, Yuhang Huang +6

Greybox fuzzing is the de-facto standard to discover bugs during development. Fuzzers execute many inputs to maximize the amount of reached code. Recently, Directed Greybox Fuzzers…