TrojViT: Trojan Insertion in Vision Transformers

27 August 2022

Papers citing "TrojViT: Trojan Insertion in Vision Transformers"

9 / 9 papers shown

Title
Erased but Not Forgotten: How Backdoors Compromise Concept Erasure Jonas Henry Grebe Tobias Braun Marcus Rohrbach Anna Rohrbach AAML 85 0 0 29 Apr 2025
Revisiting DRAM Read Disturbance: Identifying Inconsistencies Between Experimental Characterization and Device-Level Studies Haocong Luo Ismail Emir Yüksel Ataberk Olgun A. Giray Yağlıkçı O. Mutlu 53 1 0 20 Mar 2025
CipherPrune: Efficient and Scalable Private Transformer Inference Yancheng Zhang Jinbao Xue Mengxin Zheng Mimi Xie Mingzhe Zhang Lei Jiang Qian Lou 64 2 0 24 Feb 2025
Understanding RowHammer Under Reduced Refresh Latency: Experimental Analysis of Real DRAM Chips and Implications on Future Solutions Yahya Can Tugrul A. Giray Yağlıkçı Ismail Emir Yüksel Ataberk Olgun Oguzhan Canpolat Nisa Bostancı Mohammad Sadrosadati Oguz Ergin O. Mutlu 45 2 0 17 Feb 2025
Mitigating the Backdoor Effect for Multi-Task Model Merging via Safety-Aware Subspace Jinluan Yang Anke Tang Didi Zhu Zhengyu Chen Li Shen Fei Wu MoMe AAML 62 3 0 17 Oct 2024
Context is the Key: Backdoor Attacks for In-Context Learning with Vision Transformers Gorka Abad S. Picek Lorenzo Cavallaro A. Urbieta SILM 47 0 0 06 Sep 2024
An Experimental Analysis of RowHammer in HBM2 DRAM Chips Ataberk Olgun Majd Osseiran A. G. Yaglikçi Yahya Can Tugrul Haocong Luo Steve Rhyner Behzad Salami Juan Gómez Luna O. Mutlu 29 15 0 29 May 2023
Recover Triggered States: Protect Model Against Backdoor Attack in Reinforcement Learning Hao Chen Chen Gong Yizhen Wang Xinwen Hou AAML 24 1 0 01 Apr 2023
BppAttack: Stealthy and Efficient Trojan Attacks against Deep Neural Networks via Image Quantization and Contrastive Adversarial Learning Zhenting Wang Juan Zhai Shiqing Ma AAML 131 97 0 26 May 2022