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Zhen Yu

7 accepted papers

2024

MultiSQL: A Schema-Integrated Context-Dependent Text2SQL Dataset with Diverse SQL Operations

ACL 2024findings

Text2SQL is a task that translates natural language into SQL statements. Context-dependent Text2SQL offers a more natural database interaction by simulating dialogues between users and databases, with CoSQL and SparC as representative datasets. Yet, these datasets struggle to accurately replicate re…

2024

Query-Efficient Textual Adversarial Example Generation for Black-Box Attacks

NAACL 2024long

Deep neural networks for Natural Language Processing (NLP) have been demonstrated to be vulnerable to textual adversarial examples. Existing black-box attacks typically require thousands of queries on the target model, making them expensive in real-world applications. In this paper, we propose a new…

2023

Sparse Black-Box Multimodal Attack for Vision-Language Adversary Generation

EMNLP 2023long findings

Deep neural networks have been widely applied in real-world scenarios, such as product restrictions on e-commerce and hate speech monitoring on social media, to ensure secure governance of various platforms. However, illegal merchants often deceive the detection models by adding large-scale perturb…

Cited by 0SourceScholar
2023

Towards Trustable Skin Cancer Diagnosis via Rewriting Model's Decision

CVPR 2023poster

Deep neural networks have demonstrated promising performance on image recognition tasks. However, they may heavily rely on confounding factors, using irrelevant artifacts or bias within the dataset as the cue to improve performance. When a model performs decision-making based on these spurious corre…

Cited by 32SourcePDFScholar
2022

Position-Invariant Adversarial Attacks on Neural Modulation Recognition

ICASSP 2022accepted

Deep neural networks (DNNs) are widely used for neural modulation recognition (NMR) in the electronic field and have been shown to be vulnerable to adversarial examples for NMR. In the physical signal communication scenario, the adversarial signal transmitted by the adversary is affected by the chan…

Cited by 0SourceScholar
2022

TextHacker: Learning based Hybrid Local Search Algorithm for Text Hard-label Adversarial Attack

EMNLP 2022finding

Existing textual adversarial attacks usually utilize the gradient or prediction confidence to generate adversarial examples, making it hard to be deployed in real-world applications. To this end, we consider a rarely investigated but more rigorous setting, namely hard-label attack, in which the atta…

2019

Adaptive Vision-Based Control for Rope-Climbing Robot Manipulator

IROS 2019poster

While the mechanism of Rope-Climbing provides much flexibility, it opens up challenges to the development of the controller for Robotic Manipulator installed on Rope-Climbing robot(RCR), which is called Rope-Climbing Robot Manipulator(RCRM) here. In particular, the deformable nature of the rope resu…

Cited by 7SourceScholar