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Junfeng Guo

23 papers · 2020–2025 · 10 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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+5 more ↓ πŸƒ Academic Marathon Β· Sprint 🌍 Conference Polyglot Β· Gold πŸŒ‰ Interdisciplinary Bridge Β· Silver πŸ—ΊοΈ Taxonomy Completionist (44) 🀝 Dynamic Duo (13)
πŸ—ƒοΈ Keyword Collector (112) πŸ”₯ Unstoppable Β· Bronze ⚑ Prolific Year Β· Productive 🌈 Renaissance Researcher (7) πŸ’Ž Century Club Β· Bronze

Venues

CVPR (4) ICLR (4) ACL (3) ECCV (3) ICCV (2) ICML (2) NeurIPS (2) EMNLP (1) IJCAI (1) Interspeech (1)

Top co-authors

Heng Huang (13) Cong Liu (9) Yihan Wu (8) Ruibo Chen (7) Chenxi Liu (5) Yiming Li (4) Ang Li (4) Lixu Wang (3) Tianyi Xiong (2) Zelun Kong (2)

Research topics

Artificial Intelligence (17) Machine Learning (16) Core AI (15) Application Areas (10) Deep Learning (7) Natural Language Processing (5) Learning Types (5) Models (4) Computer Vision (3) Applications (3) Core Methods (3) Security & Privacy (2) Analysis (2) Architectures (2) Generation (2)

Keywords

large language model (6) backdoor attack (3) adversarial attack (3) backdoor detection (3) statistical watermark (2) text generation (2) transferable attack (2) intellectual property protection (2) ownership verification (2) deep neural network (2) intellectual property (2) adversarial example (2) face recognition (2) neural network (2) batch normalization (1) knowledge distillation (1) continual learning (1) information bottleneck (1) robustness (1) reinforcement learning (1)

Papers

Asymmetric Conflict and Synergy in Post-training for LLM-based Multilingual Machine Translation ACL 2025 A Watermark for Auto-Regressive Speech Generation Models Interspeech 2025 A Watermark for Order-Agnostic Language Models ICLR 2025 De-mark: Watermark Removal in Large Language Models ICML 2025 Federated Continuous Category Discovery and Learning ICCV 2025 Improved Unbiased Watermark for Large Language Models ACL 2025 Mind Control through Causal Inference: Predicting Clean Images from Poisoned Data ICLR 2025 SleeperMark: Towards Robust Watermark against Fine-Tuning Text-to-image Diffusion Models CVPR 2025 Web Intellectual Property at Risk: Preventing Unauthorized Real-Time Retrieval by Large Language Models EMNLP 2025 A Resilient and Accessible Distribution-Preserving Watermark for Large Language Models ICML 2024 Few-shot Class Incremental Learning with Attention-Aware Self-Adaptive Prompt ECCV 2024 Training A Secure Model against Data-Free Model Extraction ECCV 2024 Your Vision-Language Model Itself Is a Strong Filter: Towards High-Quality Instruction Tuning with Data Selection ACL 2024 ZeroMark: Towards Dataset Ownership Verification without Disclosing Watermark NeurIPS 2024 Domain Watermark: Effective and Harmless Dataset Copyright Protection is Closed at Hand NeurIPS 2023 PolicyCleanse: Backdoor Detection and Mitigation for Competitive Reinforcement Learning ICCV 2023 SCALE-UP: An Efficient Black-box Input-level Backdoor Detection via Analyzing Scaled Prediction Consistency ICLR 2023 Sibling-Attack: Rethinking Transferable Adversarial Attacks Against Face Recognition CVPR 2023 AEVA: Black-box Backdoor Detection Using Adversarial Extreme Value Analysis ICLR 2022 Neural Mean Discrepancy for Efficient Out-of-Distribution Detection CVPR 2022 Adv-Makeup: A New Imperceptible and Transferable Attack on Face Recognition IJCAI 2021 PhysGAN: Generating Physical-World-Resilient Adversarial Examples for Autonomous Driving CVPR 2020 Practical Poisoning Attacks on Neural Networks ECCV 2020