2 papers
cs.CR2026
SST: A Strong, Self-transferable, faSt, and Simple Scale Transformation for Transferable Targeted Attack
Yongxiang Liu, Bowen Peng, Li Liu +1
Transferable Targeted Attacks (TTAs) face significant challenges due to severe overfitting to surrogate models. Recent breakthroughs heavily rely on large-scale training data of vi…
cs.CV2026
ATRNet-STAR: A Large Dataset and Benchmark Towards Remote Sensing Object Recognition in the Wild
Yongxiang Liu, Weijie Li, Li Liu +8
The absence of publicly available, large-scale, high-quality datasets for Synthetic Aperture Radar Automatic Target Recognition (SAR ATR) has significantly hindered the application…