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← Authors

Jingfeng ZHANG

39 papers · 2019–2026 · 11 conferences · across top CS/AI conferences

Achievements

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+11 more ↓ 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (13) 🌍 Conference Polyglot (11)
🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (14) 🀝 Dynamic Duo (14) πŸ‘‘ Triple Crown πŸ† Grand Slam πŸ”¬ Deep Specialist (13) πŸ’Ž Century Club (39) ⚑ Prolific Year (5) πŸ—ƒοΈ Keyword Collector (128) πŸ”₯ Unstoppable (8)

Conferences

ICML (12) ICLR (6) NIPS (6) ICCV (3) IJCAI (3) AAAI (2) ACL (2) EMNLP (2) CVPR (1) IJCNLP (1) WACV (1)

Top co-authors

Masashi Sugiyama (14) Bo Han (11) Gang Niu (10) Xilie Xu (8) Mohan Kankanhalli (7) Feng Liu (7) Di Wang (6) Tongliang Liu (5) Chaojie Mao (4) Zeyinzi Jiang (4)

Research topics

Privacy (1)

Keywords

adversarial training (8) adversarial robustness (7) image generation (5) diffusion model (4) two-sample test (2) adversarial contrastive learning (2) adversarial attack (2) reinforcement learning from human feedback (2) multi-task learning (1) domain adaptation (1) benchmark evaluation (1) ensemble learning (1) causal reasoning (1) feature selection (1) representation learning (1) domain generalization (1) data augmentation (1) network architecture (1) reinforcement learning (1) preference alignment (1)

Papers

Overcoming Fine-Grained Visual Challenges in Animal Re-Identification via Semantic Feature Alignment WACV 2026 Make Me Happier: Evoking Emotions Through Image Diffusion Models ICCV 2025 ICE-Bench: A Unified and Comprehensive Benchmark for Image Creating and Editing ICCV 2025 Learning without Isolation: Pathway Protection for Continual Learning ICML 2025 ACE: All-round Creator and Editor Following Instructions via Diffusion Transformer ICLR 2025 Balancing Invariant and Specific Knowledge for Domain Generalization with Online Knowledge Distillation IJCAI 2025 VACE: All-in-One Video Creation and Editing ICCV 2025 Fair Text-to-Image Diffusion via Fair Mapping AAAI 2025 MP-Nav: Enhancing Data Poisoning Attacks against Multimodal Learning ICML 2025 Adversarial Preference Learning for Robust LLM Alignment ACL 2025 One Stone, Two Birds: Enhancing Adversarial Defense Through the Lens of Distributional Discrepancy ICML 2025 Editable Concept Bottleneck Models ICML 2025 Privacy-Preserving Low-Rank Adaptation Against Membership Inference Attacks for Latent Diffusion Models AAAI 2025 An LLM can Fool Itself: A Prompt-Based Adversarial Attack ICLR 2024 Perplexity-aware Correction for Robust Alignment with Noisy Preferences NIPS 2024 Towards Multi-dimensional Explanation Alignment for Medical Classification NIPS 2024 SCEdit: Efficient and Controllable Image Diffusion Generation via Skip Connection Editing CVPR 2024 Enhancing Learning-Based Binary Code Similarity Detection Model through Adversarial Training with Multiple Function Variants EMNLP 2024 Accurate Forgetting for Heterogeneous Federated Continual Learning ICLR 2024 AutoLoRa: An Automated Robust Fine-Tuning Framework ICLR 2024 Balancing Similarity and Complementarity for Federated Learning ICML 2024 Improving Accuracy-robustness Trade-off via Pixel Reweighted Adversarial Training ICML 2024 GAT: Guided Adversarial Training with Pareto-optimal Auxiliary Tasks ICML 2023 Efficient Adversarial Contrastive Learning via Robustness-Aware Coreset Selection NIPS 2023 Enhancing Adversarial Contrastive Learning via Adversarial Invariant Regularization NIPS 2023 Adversarial Training with Complementary Labels: On the Benefit of Gradually Informative Attacks NIPS 2022 Reliable Adversarial Distillation with Unreliable Teachers ICLR 2022 Synergy-of-Experts: Collaborate to Improve Adversarial Robustness NIPS 2022 Adversarial Attack and Defense for Non-Parametric Two-Sample Tests ICML 2022 Towards Adversarially Robust Deep Image Denoising IJCAI 2022 Geometry-aware Instance-reweighted Adversarial Training ICLR 2021 Learning Diverse-Structured Networks for Adversarial Robustness ICML 2021 Maximum Mean Discrepancy Test is Aware of Adversarial Attacks ICML 2021 CIFS: Improving Adversarial Robustness of CNNs via Channel-wise Importance-based Feature Selection ICML 2021 Disentangled Code Representation Learning for Multiple Programming Languages IJCNLP 2021 Fix-Filter-Fix: Intuitively Connect Any Models for Effective Bug Fixing EMNLP 2021 Disentangled Code Representation Learning for Multiple Programming Languages ACL 2021 Attacks Which Do Not Kill Training Make Adversarial Learning Stronger ICML 2020 Towards Robust ResNet: A Small Step but a Giant Leap IJCAI 2019