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20212026
most citedBadGPT: Exploring Security Vulnerabilities of ChatGPT via Backdoor Attacks to InstructGPT

23 citations · 81 across the 19 of their papers we have counts for

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10 papers · 1 filter

cs.CV2023★ 2 cited

3DHacker: Spectrum-based Decision Boundary Generation for Hard-label 3D Point Cloud Attack

Yunbo Tao, Daizong Liu, Pan Zhou +3

With the maturity of depth sensors, the vulnerability of 3D point cloud models has received increasing attention in various applications such as autonomous driving and robot naviga…

cs.CV2023★ 2 cited

Transform-Equivariant Consistency Learning for Temporal Sentence Grounding

Daizong Liu, Xiaoye Qu, Jianfeng Dong +6

This paper addresses the temporal sentence grounding (TSG). Although existing methods have made decent achievements in this task, they not only severely rely on abundant video-quer…

cs.CR2023★ 23 cited

BadGPT: Exploring Security Vulnerabilities of ChatGPT via Backdoor Attacks to InstructGPT

Jiawen Shi, Yixin Liu, Pan Zhou +1

Recently, ChatGPT has gained significant attention in research due to its ability to interact with humans effectively. The core idea behind this model is reinforcement learning (RL…

cs.CV2023

Jointly Visual- and Semantic-Aware Graph Memory Networks for Temporal Sentence Localization in Videos

Daizong Liu, Pan Zhou

Temporal sentence localization in videos (TSLV) aims to retrieve the most interested segment in an untrimmed video according to a given sentence query. However, almost of existing…

cs.LG2023

Unlearnable Graph: Protecting Graphs from Unauthorized Exploitation

Yixin Liu, Chenrui Fan, Pan Zhou +1

While the use of graph-structured data in various fields is becoming increasingly popular, it also raises concerns about the potential unauthorized exploitation of personal data fo…

cs.CV2023★ 6 cited

You Can Ground Earlier than See: An Effective and Efficient Pipeline for Temporal Sentence Grounding in Compressed Videos

Xiang Fang, Daizong Liu, Pan Zhou +1

Given an untrimmed video, temporal sentence grounding (TSG) aims to locate a target moment semantically according to a sentence query. Although previous respectable works have made…

cs.CR2023★ 4 cited

Backdoor Attacks to Pre-trained Unified Foundation Models

Zenghui Yuan, Yixin Liu, Kai Zhang +2

The rise of pre-trained unified foundation models breaks down the barriers between different modalities and tasks, providing comprehensive support to users with unified architectur…

cs.CV2023

Tracking Objects and Activities with Attention for Temporal Sentence Grounding

Zeyu Xiong, Daizong Liu, Pan Zhou +1

Temporal sentence grounding (TSG) aims to localize the temporal segment which is semantically aligned with a natural language query in an untrimmed video.Most existing methods extr…

cs.CV2023★ 3 cited

Hypotheses Tree Building for One-Shot Temporal Sentence Localization

Daizong Liu, Xiang Fang, Pan Zhou +3

Given an untrimmed video, temporal sentence localization (TSL) aims to localize a specific segment according to a given sentence query. Though respectable works have made decent ac…

cs.CV2023

Rethinking the Video Sampling and Reasoning Strategies for Temporal Sentence Grounding

Jiahao Zhu, Daizong Liu, Pan Zhou +8

Temporal sentence grounding (TSG) aims to identify the temporal boundary of a specific segment from an untrimmed video by a sentence query. All existing works first utilize a spars…