Dataset Groups Activity Stream Frequency-driven Imperceptible Adversarial Attack on Semantic Similarity The proposed framework, SSAH, for adversarial attack. It aims to perturb images by attacking their semantic similarity in representation space. BibTex: @dataset{Cheng_Luo_and_Qinliang_Lin_and_Weicheng_Xie_and_Bizhu_Wu_and_Jinheng_Xie_and_Linlin_Shen_2025, abstract = {The proposed framework, SSAH, for adversarial attack. It aims to perturb images by attacking their semantic similarity in representation space.}, author = {Cheng Luo and Qinliang Lin and Weicheng Xie and Bizhu Wu and Jinheng Xie and Linlin Shen}, doi = {10.57702/osjv7v44}, institution = {No Organization}, keyword = {'adversarial attack', 'deep learning', 'semantic similarity'}, month = {jan}, publisher = {TIB}, title = {Frequency-driven Imperceptible Adversarial Attack on Semantic Similarity}, url = {https://service.tib.eu/ldmservice/dataset/frequency-driven-imperceptible-adversarial-attack-on-semantic-similarity}, year = {2025} }
