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594 results on '"Wang, Meiqi"'

8. The Solar Origin of an In Situ Type III Radio Burst Event

Author

Wang, Meiqi, Chen, Bin, Yu, Sijie, Gary, Dale E., Lee, Jeongwoo, Wang, Haimin, and Cohen, Christina

Subjects
Astrophysics - Solar and Stellar Astrophysics, Physics - Space Physics
Abstract

Solar type III radio bursts are generated by beams of energetic electrons that travel along open magnetic field lines through the corona and into interplanetary space. However, understanding the source of these electrons and how they escape into interplanetary space remains an outstanding topic. Here we report multi-instrument, multi-perspective observations of an interplanetary type III radio burst event shortly after the second perihelion of the Parker Solar Probe (PSP). This event was associated with a solar jet that produced an impulsive microwave burst event recorded by the Expanded Owens Valley Solar Array (EOVSA). The type III burst event also coincided with the detection of enhanced in situ energetic electrons recorded by both PSP at 0.37 AU and WIND at 1 AU, which were located very closely on the Parker spiral longitudinally. The close timing association and magnetic connectivity suggest that the in situ energetic electrons originated from the jet's magnetic reconnection region. Intriguingly, microwave imaging spectroscopy results suggest that the escaping energetic electrons were injected into a large opening angle of about 90 degrees, which is at least nine times broader than the apparent width of the jet spire. Our findings provide an interpretation for the previously reported, longitudinally broad spatial distribution of flare locations associated with prompt energetic electron events and have important implications for understanding the origin and distribution of energetic electrons in the interplanetary space., Comment: 20 pages, 12 figures, Accepted for publication in The Astrophysical Journal

Published
2023

27. Aegis: Mitigating Targeted Bit-flip Attacks against Deep Neural Networks

Author

Wang, Jialai, Zhang, Ziyuan, Wang, Meiqi, Qiu, Han, Zhang, Tianwei, Li, Qi, Li, Zongpeng, Wei, Tao, and Zhang, Chao

Subjects
Computer Science - Cryptography and Security
Abstract

Bit-flip attacks (BFAs) have attracted substantial attention recently, in which an adversary could tamper with a small number of model parameter bits to break the integrity of DNNs. To mitigate such threats, a batch of defense methods are proposed, focusing on the untargeted scenarios. Unfortunately, they either require extra trustworthy applications or make models more vulnerable to targeted BFAs. Countermeasures against targeted BFAs, stealthier and more purposeful by nature, are far from well established. In this work, we propose Aegis, a novel defense method to mitigate targeted BFAs. The core observation is that existing targeted attacks focus on flipping critical bits in certain important layers. Thus, we design a dynamic-exit mechanism to attach extra internal classifiers (ICs) to hidden layers. This mechanism enables input samples to early-exit from different layers, which effectively upsets the adversary's attack plans. Moreover, the dynamic-exit mechanism randomly selects ICs for predictions during each inference to significantly increase the attack cost for the adaptive attacks where all defense mechanisms are transparent to the adversary. We further propose a robustness training strategy to adapt ICs to the attack scenarios by simulating BFAs during the IC training phase, to increase model robustness. Extensive evaluations over four well-known datasets and two popular DNN structures reveal that Aegis could effectively mitigate different state-of-the-art targeted attacks, reducing attack success rate by 5-10$\times$, significantly outperforming existing defense methods.

Published
2023

44. Data from Nanoparticle-Based Combination Therapy Enhances Fulvestrant Efficacy and Overcomes Tumor Resistance in ER-Positive Breast Cancer

Author

Li, Bozhao, primary, Qi, Feilong, primary, Zhu, Fei, primary, Lu, Zefang, primary, Wang, Meiqi, primary, Chu, Tianjiao, primary, Wu, Suying, primary, Wei, Jingyan, primary, Song, Zhenchuan, primary, Sukumar, Saraswati, primary, Zhang, Cheng, primary, Xu, Jiangfei, primary, Li, Suping, primary, and Nie, Guangjun, primary

Published
2023
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45. Supplementary Data from Nanoparticle-Based Combination Therapy Enhances Fulvestrant Efficacy and Overcomes Tumor Resistance in ER-Positive Breast Cancer

Author

Li, Bozhao, primary, Qi, Feilong, primary, Zhu, Fei, primary, Lu, Zefang, primary, Wang, Meiqi, primary, Chu, Tianjiao, primary, Wu, Suying, primary, Wei, Jingyan, primary, Song, Zhenchuan, primary, Sukumar, Saraswati, primary, Zhang, Cheng, primary, Xu, Jiangfei, primary, Li, Suping, primary, and Nie, Guangjun, primary

Published
2023
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