Tootfinder

Probing Obscured Star Formation in Galaxy Clusters Using JWST Medium Band Images: 3.3$\mu\rm m$ PAH Emitter Sample in Abell 2744
Cheng Cheng, Xin Wang, Piaoran Liang, Fengwu Sun, Edo Ibar, Malte Brinch, Haojing Yan, Jia-Sheng Huang, Jun Li, Juan Molina
https://arxiv.org/abs/2506.21320

Probing Obscured Star Formation in Galaxy Clusters Using JWST Medium Band Images: 3.3$μ\rm m$ PAH Emitter Sample in Abell 2744
Star-forming galaxies in galaxy clusters play a crucial role in understanding the advanced stages of galaxy evolution within dense environments. We present a sample of 3.3$μ$m PAH-bright galaxies in the Abell 2744 (A2744) galaxy cluster. Using F430M medium band images, we select PAH emitters in the galaxy cluster, which capture the 3.3$μ$m PAH emission at the redshift of A2744. Our multi-wavelength study demonstrates consistent star formation rates (SFRs) derived from PAH emission and SED fit…

Explainer-guided Targeted Adversarial Attacks against Binary Code Similarity Detection Models
Mingjie Chen (Zhejiang University), Tiancheng Zhu (Huazhong University of Science,Technology), Mingxue Zhang (The State Key Laboratory of Blockchain,Data Security, Zhejiang University,Hangzhou High-Tech Zone), Yiling He (University College London), Minghao Lin (University of Southern California), Penghui Li (Columbia University), Kui Ren (The State Key Laboratory of Blockchain,Data Security, Z…

Explainer-guided Targeted Adversarial Attacks against Binary Code Similarity Detection Models
Binary code similarity detection (BCSD) serves as a fundamental technique for various software engineering tasks, e.g., vulnerability detection and classification. Attacks against such models have therefore drawn extensive attention, aiming at misleading the models to generate erroneous predictions. Prior works have explored various approaches to generating semantic-preserving variants, i.e., adversarial samples, to evaluate the robustness of the models against adversarial attacks. However, the…