Shouling Ji

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

Achievements

+9 more ↓

🏃 Academic Marathon (6) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (11) 🐝 Cross-Pollinator (10)

🌈 Renaissance Researcher (9) 🗺️ Taxonomy Completionist (76) 🌉 Interdisciplinary Bridge 🏆 Keyword Champion (3) 🏆 Grand Slam ⚡ Prolific Year (8) ❓ The Questioner 💎 Century Club (33) 🗃️ Keyword Collector (187)

Conferences

AAAI (12) EMNLP (7) ACL (5) IJCAI (5) CVPR (2) ICCV (2) NIPS (2) COLING (1) ICLR (1) ICML (1) NAACL (1)

Top co-authors

Tianyu Du (10) Xuhong Zhang (9) Changjiang Li (8) Chunyi Zhou (8) Jinbao Li (7) Lingfei Wu (6) Tengfei Ma (6) Qingming Li (5) Ting Wang (5) Naen Xu (5)

Research topics

Privacy (2) Differential Privacy (1)

Keywords

backdoor attack (7) contrastive learning (5) attention mechanism (4) adversarial robustness (4) adversarial attack (4) privacy protection (3) adversarial defense (3) zero-shot learning (2) vulnerability detection (2) adversarial example (2) robustness certification (2) vision-language model (2) diffusion model (2) weight editing (2) model compression (2) fine-grained classification (2) pre-trained language model (2) temporal modeling (1) offline reinforcement learning (1) few-shot learning (1)

Papers

DoBlock: Blocking Malicious Association Propagation for Backdoor-Robust Federated Learning Under Domain Skew AAAI 2026 Compiling Activation Steering into Weights via Null-Space Constraints for Stealthy Backdoors ACL 2026 ACIArena: Toward Unified Evaluation for Agent Cascading Injection ACL 2026 “I See What You Did There”: Can Large Vision-Language Models Understand Multimodal Puns? ACL 2026 StealthGraph: Exposing Domain-Specific Risks in LLMs through Knowledge-Graph-Guided Harmful Prompt Generation ACL 2026 Bridging the Copyright Gap: Do Large Vision-Language Models Recognize and Respect Copyrighted Content? AAAI 2026 IPIGuard: A Novel Tool Dependency Graph-Based Defense Against Indirect Prompt Injection in LLM Agents EMNLP 2025 Uncovering LLM-Generated Code: A Zero-Shot Synthetic Code Detector via Code Rewriting AAAI 2025 Enhancing Adversarial Transferability with Adversarial Weight Tuning AAAI 2025 CAMH: Advancing Model Hijacking Attack in Machine Learning AAAI 2025 TWIST: Text-encoder Weight-editing for Inserting Secret Trojans in Text-to-Image Models ACL 2025 DROWN: Towards Tighter LiRPA-based Robustness Certification COLING 2025 VideoEraser: Concept Erasure in Text-to-Video Diffusion Models EMNLP 2025 Pre-training CLIP against Data Poisoning with Optimal Transport-based Matching and Alignment EMNLP 2025 Watermark under Fire: A Robustness Evaluation of LLM Watermarking EMNLP 2025 An Inversion-based Measure of Memorization for Diffusion Models ICCV 2025 The Case for Learned Provenance-based System Behavior Baseline ICML 2025 Dyn-D^2P: Dynamic Differentially Private Decentralized Learning with Provable Utility Guarantee IJCAI 2025 Protecting Object Detection Models from Model Extraction Attack via Feature Space Coverage IJCAI 2024 Pluggable Watermarking of Deepfake Models for Deepfake Detection IJCAI 2024 AdaCCD: Adaptive Semantic Contrasts Discovery Based Cross Lingual Adaptation for Code Clone Detection AAAI 2024 GaLileo: General Linear Relaxation Framework for Tightening Robustness Certification of Transformers AAAI 2024 Tram: A Token-level Retrieval-augmented Mechanism for Source Code Summarization NAACL 2024 Integer Is Enough: When Vertical Federated Learning Meets Rounding AAAI 2024 Is Mamba Compatible with Trajectory Optimization in Offline Reinforcement Learning? NIPS 2024 Let All Be Whitened: Multi-Teacher Distillation for Efficient Visual Retrieval AAAI 2024 CP-BCS: Binary Code Summarization Guided by Control Flow Graph and Pseudo Code EMNLP 2023 Defending Pre-trained Language Models as Few-shot Learners against Backdoor Attacks NIPS 2023 An Embarrassingly Simple Backdoor Attack on Self-supervised Learning ICCV 2023 The Dark Side of AutoML: Towards Architectural Backdoor Search ICLR 2023 Constructing contrastive samples via summarization for text classification with limited annotations EMNLP 2021 Aggregated Multi-GANs for Controlled 3D Human Motion Prediction AAAI 2021 i-Algebra: Towards Interactive Interpretability of Deep Neural Networks AAAI 2021 Deep Dual Consecutive Network for Human Pose Estimation CVPR 2021 Smart Contract Vulnerability Detection: From Pure Neural Network to Interpretable Graph Feature and Expert Pattern Fusion IJCAI 2021 Fine-Grained Fashion Similarity Learning by Attribute-Specific Embedding Network AAAI 2020 Unsupervised Reference-Free Summary Quality Evaluation via Contrastive Learning EMNLP 2020 VulSniper: Focus Your Attention to Shoot Fine-Grained Vulnerabilities IJCAI 2019 Dual Encoding for Zero-Example Video Retrieval CVPR 2019