Open dnn box by power side-channel attack
Web21 de jul. de 2024 · Open DNN Box by Power Side-Channel Attack Authors: Yun Xiang Zhuangzhi Chen Zuohui Chen Zhejiang University of Technology Zebin Fang Abstract … Websified into two classes: 1) side-channel attack, in which the adversarial FPGA user can construct hardware primitive as sensors(e.g., ring oscillator (RO)), to track and analyze the secret of victim users. For example, in [34], the RO-based sensor used as power side-channel has successfully extracted
Open dnn box by power side-channel attack
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Web17 de fev. de 2024 · Open DNN Box by Power Side-Channel Attack 10.1109/TCSII.2024.2973007 Authors: Yun Xiang Xiaoniu Yang Zhuangzhi Chen Zuohui … WebDeep neural networks are becoming popular and important assets of many AI companies. However, recent studies indicate that they are also vulnerable to adversarial attacks. …
Web14 de mar. de 2024 · We present evaluation methods to simplify the comparison between CNNs under different attack schemes using loss/accuracy levels, stress-strain graphs, box-plots and class activation mapping (CAM). Our analysis reveals susceptible behavior of uncompressed and pruned CNNs against all kinds of attacks. WebRecognition results for different DNN models. From red bars, it can be seen that with the power features, the original models can be well identified by using the SVM algorithm, …
WebOpen-Category Human-Object Interaction Pre-training via Language Modeling Framework Sipeng Zheng · Boshen Xu · Qin Jin Open-set Fine-grained Retrieval via Prompting Vision-Language Evaluator Shijie Wang · Jianlong Chang · Haojie Li · Zhihui Wang · Wanli Ouyang · Qi Tian R 2 Former: Unified R etrieval and R eranking Transformer for Place ... Web23 de jun. de 2024 · With the trend of privatization deployment of DNN models, the data leakage of the DNN models is becoming increasingly serious and widespread. All existing model-extraction attacks can only leak parts of targeted DNN models with low accuracy or high overhead. In this paper, we first identify a new attack surface -- unencrypted PCIe …
WebPDF - Deep neural networks are becoming popular and important assets of many AI companies. However, recent studies indicate that they are also vulnerable to adversarial attacks. Adversarial attacks can be either white-box or black-box. The white-box attacks assume full knowledge of the models while the black-box ones assume none. In general, …
WebOpen DNN box by power side-channel attack. IEEE Trans. Circ. Syst. II: Express Briefs 67, 11 (2024), 2717–2721. DOI: Google Scholar Cross Ref [35] Yan Mengjia, Fletcher Christopher W., and Torrellas Josep. 2024. Cache telepathy: Leveraging shared resource attacks to learn DNN architectures. In 29th USENIX Security Symposium (USENIX … sierra trading post wool shirthttp://xuanqi-net.com/Papers/TCAS2024-GrayBox.pdf the power of indiaWebdeep neural networks (DNN), as this knowledge enhances an adversary’s capabil-ity to conduct attacks on black-box networks. This paper presents the first in-depth security analysis of DNN fingerprinting attacks that exploit cache side-channels. First, we define the threat model for these attacks: our adversary does not need sierra trading post watchungWebThe gray-box setting refers to the attacks with limited knowledge about the target model and its data (Xiang et al., 2024). Severity indicates the level of the violation. ... Reference: Attacks,... sierra trading post thornton coWeb1 de ago. de 2024 · For the research works, we highlight the threat-model, key idea for launching attack and defense strategies. We organize the works on salient categories to highlight their strengths and limitations. This paper aims to equip researchers with the knowledge of recent advances in DNN security and motivate them to think of security as … sierra trading post woolrichWebSpecifically, we have made the following contributions: (1) we are the first to use side-channel information to reveal internal network architecture in embedded devices; (2) we … sierra trading post wool socksWeb20 de dez. de 2024 · Research has shown that when a microcontroller (MCU) is powered up, the emitted electromagnetic radiation (EMR) patterns are different depending on the executed instructions. This becomes a security concern for embedded systems or the Internet of Things. Currently, the accuracy of EMR pattern recognition is low. Thus, a … the power of infographics