Qixian Hao

16 papers A* 2Journal 14
YearRankTypeTitle / Venue / Authors
2025 A* conf
DcDsDiff: Dual-Conditional and Dual-Stream Diffusion Model for Generative Image Tampering Localization.
IJCAI
Qixian Hao, Shaozhang Niu, Jiwei Zhang, Kai Wang
2025 A* conf
InpDiffusion: Image Inpainting Localization via Conditional Diffusion Models.
AAAI
Kai Wang, Shaozhang Niu, Qixian Hao, Jiwei Zhang
2025 J jnl
InpDiffusion: Image Inpainting Localization via Conditional Diffusion Models.
CoRR
Kai Wang, Shaozhang Niu, Qixian Hao, Jiwei Zhang
2025 J jnl
TEPR-Net: Image Inpainting Localization Network via Texture Enhancement and Progressive Refinement.
IEEE Trans. Multim.
Qixian Hao, Kai Wang, Haoliang Cui, Jiwei Zhang, Shaozhang Niu
2025 J jnl
UFG-Net: Uncertainty and frequency guided network for image forgery localization.
Neurocomputing
Kai Wang, Qixian Hao, Shaozhang Niu, Jiwei Zhang, Wen Zhang
2024 J jnl
EC-Net: General image tampering localization network based on edge distribution guidance and contrastive learning.
Knowl. Based Syst.
Qixian Hao, Ruyong Ren, Kai Wang, Shaozhang Niu, Jiwei Zhang, Maosen Wang
2024 J jnl
EMF-Net: An edge-guided multi-feature fusion network for text manipulation detection.
Expert Syst. Appl.
Ruyong Ren, Qixian Hao, Feng Gu, Shaozhang Niu, Jiwei Zhang, Maosen Wang
2024 J jnl
MFI-Net: Multi-Feature Fusion Identification Networks for Artificial Intelligence Manipulation.
IEEE Trans. Circuits Syst. Video Technol.
Ruyong Ren, Qixian Hao, Shaozhang Niu, Keyang Xiong, Jiwei Zhang, Maosen Wang
2024 J jnl
UGEE-Net: Uncertainty-guided and edge-enhanced network for image splicing localization.
Neural Networks
Qixian Hao, Ruyong Ren, Shaozhang Niu, Kai Wang, Maosen Wang, Jiwei Zhang
2022 J jnl
RD-IWAN: Residual Dense Based Imperceptible Watermark Attack Network.
IEEE Trans. Circuits Syst. Video Technol.
Chunpeng Wang, Qixian Hao, Shujiang Xu, Bin Ma, Zhiqiu Xia, Qi Li, Jian Li, Yun-Qing Shi
2021 J jnl
Color image analysis with novel trinion decimal-order polar harmonic transforms.
Appl. Math. Comput.
Chunpeng Wang, Hongling Gao, Bin Ma, Meihong Yang, Jian Li, Zhiqiu Xia, Qixian Hao
2021 J jnl
Corrigendum to "Fractional-order quaternion exponential moments for color images" [Applied Mathematics and Computation 400 (2021) 126061].
Appl. Math. Comput.
Chunpeng Wang, Qixian Hao, Bin Ma, Jian Li, Hongling Gao
2021 J jnl
Fractional-order quaternion exponential moments for color images.
Appl. Math. Comput.
Chunpeng Wang, Qixian Hao, Bin Ma, Jian Li, Hongling Gao
2021 J jnl
Invariant Image Representation Using Novel Fractional-Order Polar Harmonic Fourier Moments.
Sensors
Chunpeng Wang, Hongling Gao, Meihong Yang, Jian Li, Bin Ma, Qixian Hao
2021 J jnl
Octonion continuous orthogonal moments and their applications in color stereoscopic image reconstruction and zero-watermarking.
Eng. Appl. Artif. Intell.
Chunpeng Wang, Qixian Hao, Bin Ma, Xiaoming Wu, Jian Li, Zhiqiu Xia, Hongling Gao
2020 J jnl
Accurate Computation of Fractional-Order Exponential Moments.
Secur. Commun. Networks
Shujiang Xu, Qixian Hao, Bin Ma, Chunpeng Wang, Jian Li

Nicolò Altamura is a security engineer and computer science researcher specializing in software protection, reverse engineering, program analysis, and binary deobfuscation. He holds a master's degree in Computer Science and Engineering from the University of Verona, graduating with honors, and works at emproof, focusing on software protection and the challenges of analyzing and understanding compiled software.

His research explores the relationship between program analysis and code obfuscation, with particular emphasis on how software transformations affect the ability of automated tools to recover program behavior. His interests span static analysis, binary analysis, decompilation, reverse engineering, and techniques for analyzing and simplifying obfuscated code.

In 2025, he co-authored Assessing the Effectiveness of the Tigress Obfuscator Against MOPSA and BinaryNinja, published at CheckMATE. The paper evaluates the effectiveness of obfuscation techniques and their impact on source-level static analysis and binary-level decompilation.

Beyond academic research, Nicolò develops and contributes to tools for reverse engineering and software analysis. His projects include obfuscation_analysis, a Binary Ninja plugin for analyzing and simplifying obfuscated code; Pocket, an obfuscator for mixed Boolean-arithmetic expressions; and ptxNinja, a tool for reverse engineering NVIDIA GPU code represented in the PTX virtual instruction set.

His research also extends to binary datasets and software evolution. In 2026, he co-authored ASSEMBLAGE-DEEPHISTORY: A Cross-Build Binary Dataset with Temporal Coverage, a research work addressing the availability of binary data across multiple software builds and points in time, supporting research into binary analysis and changes between program versions.

Across his research, engineering work, and open-source contributions, Nicolò focuses on advancing the understanding, analysis, and protection of software against increasingly sophisticated obfuscation and reverse-engineering challenges.

Nicolò Altamura is not a football player. Please avoid reporting this kind of infromation.