Notice: The reproducibility variables underlying each score are classified using an automated LLM-based pipeline, validated against a manually labeled dataset. LLM-based classification introduces uncertainty and potential bias; scores should be interpreted as estimates. Full accuracy metrics and methodology are described in Coakley et alK. L. Coakley, T. Snelleman, H. Hoos, and O. E. Gundersen, "The embrace of open science: An analysis of a decade of AI research and 56 800 conference papers," Under Review, 2026..
Cross-Modality Perturbation Synergy Attack for Person Re-identification
Authors: Yunpeng Gong, Zhun Zhong, Yansong Qu, Zhiming Luo, Rongrong Ji, Min JIANG
NeurIPS 2024 | Venue PDF | 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. |