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Guopu Zhu

4 accepted papers

2026

Robust Adversarial Attacks Against Unknown Disturbance via Inverse Gradient Sample

ICLR 2026poster

Adversarial attacks have achieved widespread success in various domains, yet existing methods suffer from significant performance degradation when adversarial examples are subjected to even minor disturbances. In this paper, we propose a novel and robust attack called IGSA (**I**nverse **G**radient…

Cited by 0SourcecodeScholar
2025

VLForgery Face Triad: Detection, Localization and Attribution via Multimodal Large Language Models

NeurIPS 2025poster

Faces synthesized by diffusion models (DMs) with high-quality and controllable attributes pose a significant challenge for Deepfake detection. Most state-of-the-art detectors only yield a binary decision, incapable of forgery localization, attribution of forgery methods, and providing analysis on th…

Cited by 0SourceScholar
2020

Intra Frame Rate Control for Versatile Video Coding with Quadratic Rate-Distortion Modelling

ICASSP 2020accepted

With numerous coding tools adopted in the forthcoming Versatile Video Coding (VVC) standard, much less work has been dedicated to study the corresponding Rate-Distortion (R-D) characteristics. This paper proposes a new quadratic R-D model for Versatile Video Coding. In particular, based on the propo…

Cited by 0SourceScholar
2020

Just Noticeable Distortion Based Perceptually Lossless Intra Coding

ICASSP 2020accepted

Perceptual video coding plays a very important role in video codec optimization aiming at removing the perceptual redundancies in video content. In this paper, a just noticeable distortion (JND) guided perceptually lossless coding framework is proposed for Versatile Video Coding (VVC) intra coding.…

Cited by 0SourceScholar