Cross-Modality Perturbation Synergy Attack for Person Re-identification
Authors: Yunpeng Gong, Zhun Zhong, Yansong Qu, Zhiming Luo, Rongrong Ji, Min JIANG
NeurIPS 2024 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | We conducted experiments on three widely used cross-modality datasets, namely Reg DB, SYSU, and LLCM. The results not only demonstrate the effectiveness of our method but also provide insights for future improvements in the robustness of cross-modality Re ID systems. |
| Researcher Affiliation | Academia | Yunpeng Gong1, Zhun Zhong2, Yansong Qu1, Zhiming Luo1, Rongrong Ji1, and Min Jiang*1 1School of Informatics, Xiamen University 2School of Computer Science and Information Engineering, Hefei University of Technology |
| Pseudocode | Yes | Algorithm 1 Procedure of CMPS attack |
| Open Source Code | Yes | The code will be available at https://github.com/ finger-monkey/cmps__attack. |
| Open Datasets | Yes | We evaluate our proposed method on two commonly used cross-modality Re ID datasets: SYSU-MM01 [33], Reg DB [32] and LLCM [24]. |
| Dataset Splits | Yes | SYSU-MM01...The testing set consists of 95 identities with two evaluation settings... Reg DB [32] is a smaller-scale dataset with 412 identities...we randomly select 206 identities (2,060 images) for training and use the remaining 206 identities (2,060 images) for testing. |
| Hardware Specification | Yes | Our experiments were conducted using three RTX 2080 Ti GPUs, each with 11GB of memory. |
| Software Dependencies | No | The paper does not explicitly list specific version numbers for software dependencies or libraries used in the experiments. |
| Experiment Setup | Yes | Here, θ represents the momentum value (set as θ = 1), and ir is derived from the previous iteration. The iteration step size is denoted by α (set as α = ϵ 12 ), where ϵ is the adversarial bound (ϵ = 8, unless otherwise specified). We set the margin ρ = 0.5 in our triplet loss. |