Jun 3, 2021 · Experimental results on two benchmark datasets demonstrate that our proposed method achieves state-of-the-art performance and transferability.
Feb 10, 2020 · In this work, we aim to present an effective and efficient algorithm to generate adversarial examples to attack anchor-free object models based ...
In this pa- per, we present the first adversarial attack on anchor-free ob- ject detectors. It conducts category-wise, instead of previ- ously instance-wise, ...
In this work, we aim to present an effective and efficient algorithm to generate adversarial examples to attack anchor-free object models based on two ...
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Topics · Transferable Adversarial Examples · Adversarial Attacks · Object Detection Networks · Deep Neural Networks · Transferability · Benchmark Dataset ...
In this work, we aim to present an effective and efficient algorithm to generate adversarial examples to attack anchor-free object models based on two ...
Mar 24, 2024 · In this study, we propose a simple but effective method to improve the transferability of adversarial examples for object detectors by ...
Deep neural networks have been demonstrated to be vulnerable to adversarial attacks: subtle perturbation can completely change prediction result.
Jan 11, 2024 · Liao et al. [23] proposed a CA (category-wise attack) method for the anchor-free object detection model. In this method, key pixel areas rich in ...
In our work, we leverage higher-level semantic information to generate high aggressive local perturbations for anchor-free object detectors. As a result, it is ...
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