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20122026
most citedLarge-Scale Analysis of Framework-Specific Exceptions in Android Apps

115 citations · 262 across the 51 of their papers we have counts for

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Showing 2024Show all

11 papers · 1 filter

cs.CV2024

Concept Guided Co-salient Object Detection

Jiayi Zhu, Qing Guo, Felix Juefei-Xu +3

Co-salient object detection (Co-SOD) aims to identify common salient objects across a group of related images. While recent methods have made notable progress, they typically rely…

cs.LO2024

Revisiting Assumptions Ordering in CAR-Based Model Checking

Yibo Dong, Yu Chen, Jianwen Li +2

Model checking is an automatic formal verification technique that is widely used in hardware verification. The state-of-the-art complete model-checking techniques, based on IC3/PDR…

cs.CV2024

Efficient and Effective Universal Adversarial Attack against Vision-Language Pre-training Models

Fan Yang, Yihao Huang, Kailong Wang +4

Vision-language pre-training (VLP) models, trained on large-scale image-text pairs, have become widely used across a variety of downstream vision-and-language (V+L) tasks. This wid…

cs.AI2024

On-the-fly Synthesis for LTL over Finite Traces: An Efficient Approach that Counts

Shengping Xiao, Yongkang Li, Shufang Zhu +4

We present an on-the-fly synthesis framework for Linear Temporal Logic over finite traces (LTLf) based on top-down deterministic automata construction. Existing approaches rely on…

cs.CV2024

Perception-guided Jailbreak against Text-to-Image Models

Yihao Huang, Le Liang, Tianlin Li +5

In recent years, Text-to-Image (T2I) models have garnered significant attention due to their remarkable advancements. However, security concerns have emerged due to their potential…

cs.CV2024

Texture Re-scalable Universal Adversarial Perturbation

Yihao Huang, Qing Guo, Felix Juefei-Xu +5

Universal adversarial perturbation (UAP), also known as image-agnostic perturbation, is a fixed perturbation map that can fool the classifier with high probabilities on arbitrary i…