{"total":54,"rows":[{"id":"2205.01992","title":"Wild Patterns Reloaded: A Survey of Machine Learning Security against Training Data Poisoning","created":"2022-05-04","cited_by_count":94,"area":"safety"},{"id":"2303.03323","title":"CleanCLIP: Mitigating Data Poisoning Attacks in Multimodal Contrastive Learning","created":"2023-03-06","cited_by_count":63,"area":"safety"},{"id":"2303.15180","title":"Detecting Backdoors in Pre-trained Encoders","created":"2023-03-23","cited_by_count":55,"area":"safety"},{"id":"2202.05749","title":"Constrained Optimization with Dynamic Bound-scaling for Effective NLPBackdoor Defense","created":"2022-02-11","cited_by_count":47,"area":"safety"},{"id":"2411.12768","title":"CROW: Eliminating Backdoors from Large Language Models via Internal Consistency Regularization","created":"2024-11-18","cited_by_count":33,"area":"safety"},{"id":"2406.12257","title":"CleanGen: Mitigating Backdoor Attacks for Generation Tasks in Large Language Models","created":"2024-06-18","cited_by_count":24,"area":"safety"},{"id":"2302.12461","title":"Analyzing And Editing Inner Mechanisms Of Backdoored Language Models","created":"2023-02-24","cited_by_count":23,"area":"safety"},{"id":"2206.08477","title":"Backdoor Attacks on Vision Transformers","created":"2022-06-16","cited_by_count":13,"area":"safety"},{"id":"2412.20392","title":"Defending Multimodal Backdoored Models by Repulsive Visual Prompt Tuning","created":"2024-12-29","cited_by_count":12,"area":"safety"},{"id":"2211.07915","title":"Backdoor Attacks on Time Series: A Generative Approach","created":"2022-11-15","cited_by_count":10,"area":"safety"},{"id":"2309.04777","title":"Towards Robust Model Watermark via Reducing Parametric Vulnerability","created":"2023-09-09","cited_by_count":10,"area":"safety"},{"id":"2409.15968","title":"Adversarial Backdoor Defense in CLIP","created":"2024-09-24","cited_by_count":10,"area":"safety"},{"id":"2507.05113","title":"CLIP-Guided Backdoor Defense through Entropy-Based Poisoned Dataset Separation","created":"2025-07-07","cited_by_count":10,"area":"safety"},{"id":"2401.01085","title":"Imperio: Language-Guided Backdoor Attacks for Arbitrary Model Control","created":"2024-01-02","cited_by_count":8,"area":"safety"},{"id":"2406.03508","title":"Mutual Information Guided Backdoor Mitigation for Pre-trained Encoders","created":"2024-06-05","cited_by_count":8,"area":"safety"},{"id":"2302.14500","title":"FreeEagle: Detecting Complex Neural Trojans in Data-Free Cases","created":"2023-02-28","cited_by_count":7,"area":"safety"},{"id":"2603.13461","title":"Purifying Generative LLMs from Backdoors without Prior Knowledge or Clean Reference","created":"2026-03-13","cited_by_count":7,"area":"safety"},{"id":"2403.03846","title":"Can Distillation Mitigate Backdoor Attacks in Pre-trained Encoders?","created":"2024-03-06","cited_by_count":6,"area":"safety"},{"id":"2405.10612","title":"Not All Prompts Are Secure: A Switchable Backdoor Attack Against Pre-trained Vision Transformers","created":"2024-05-17","cited_by_count":5,"area":"safety"},{"id":"2405.16783","title":"TrojFM: Resource-efficient Backdoor Attacks against Very Large Foundation Models","created":"2024-05-27","cited_by_count":5,"area":"safety"},{"id":"2601.11207","title":"LoRA as Oracle","created":"2026-01-16","cited_by_count":4,"area":"safety"},{"id":"2405.19990","title":"DiffPhysBA: Diffusion-based Physical Backdoor Attack against Person Re-Identification in Real-World","created":"2024-05-30","cited_by_count":3,"area":"safety"},{"id":"2407.14738","title":"Flatness-aware Sequential Learning Generates Resilient Backdoors","created":"2024-07-20","cited_by_count":3,"area":"safety"},{"id":"2409.06130","title":"Revisiting Black-Box Model Ownership Verification through Information Theory","created":"2024-09-10","cited_by_count":3,"area":"safety"},{"id":"2411.11006","title":"BackdoorMBTI: A Backdoor Learning Multimodal Benchmark Tool Kit for Backdoor Defense Evaluation","created":"2024-11-17","cited_by_count":3,"area":"safety"},{"id":"2601.19448","title":"From Internal Diagnosis to External Auditing: A VLM-Driven Paradigm for Data-Free Online Backdoor Defense","created":"2026-01-27","cited_by_count":3,"area":"safety"},{"id":"2406.04478","title":"PromptFix: Few-shot Backdoor Removal via Adversarial Prompt Tuning","created":"2024-06-06","cited_by_count":2,"area":"safety"},{"id":"2602.03040","title":"DF-LoGiT: Data-Free Logic-Gated Backdoor Attacks in Vision Transformers","created":"2026-02-03","cited_by_count":2,"area":"safety"},{"id":"2305.09671","title":"Pick your Poison: Undetectability versus Robustness in Data Poisoning Attacks","created":"2023-05-07","cited_by_count":1,"area":"safety"},{"id":"2305.15394","title":"Differentially-Private Decision Trees and Provable Robustness to Data Poisoning","created":"2023-05-24","cited_by_count":1,"area":"safety"},{"id":"2405.17746","title":"Rethinking Pruning for Backdoor Mitigation: An Optimization Perspective","created":"2024-05-28","cited_by_count":1,"area":"safety"},{"id":"2408.13221","title":"Protecting against simultaneous data poisoning attacks","created":"2024-08-23","cited_by_count":1,"area":"safety"},{"id":"2409.13004","title":"Data Poisoning and Leakage Analysis in Federated Learning","created":"2024-09-19","cited_by_count":1,"area":"safety"},{"id":"2410.01128","title":"Using Interleaved Ensemble Unlearning to Keep Backdoors at Bay for Finetuning Vision Transformers","created":"2024-10-01","cited_by_count":1,"area":"safety"},{"id":"2411.09540","title":"Prompting the Unseen: Detecting Hidden Backdoors in Black-Box Models","created":"2024-11-14","cited_by_count":1,"area":"safety"},{"id":"2502.01152","title":"Gradient Norm-based Fine-Tuning for Backdoor Defense in Automatic Speech Recognition","created":"2025-02-03","cited_by_count":1,"area":"safety"},{"id":"2510.01157","title":"Where Do Backdoors Live? A Component-Level Analysis of Backdoor Propagation in Speech Language Models","created":"2025-10-01","cited_by_count":1,"area":"safety"},{"id":"2601.21695","title":"AtPatch: Debugging Transformers via Hot-Fixing Over-Attention","created":"2026-01-29","cited_by_count":1,"area":"safety"},{"id":"2604.18970","title":"Mechanistic Anomaly Detection via Functional Attribution","created":"2026-04-21","cited_by_count":1,"area":"safety"},{"id":"2212.02582","title":"Rethinking Backdoor Data Poisoning Attacks in the Context of Semi-Supervised Learning","created":"2022-12-05","cited_by_count":0,"area":"safety"},{"id":"2410.05284","title":"Hypnopaedia-Aware Machine Unlearning via Psychometrics of Artificial Mental Imagery","created":"2024-09-29","cited_by_count":0,"area":"safety"},{"id":"2507.10162","title":"HASSLE: A Self-Supervised Learning Enhanced Hijacking Attack on Vertical Federated Learning","created":"2025-07-14","cited_by_count":0,"area":"safety"},{"id":"2507.19905","title":"ConSeg: Contextual Backdoor Attack Against Semantic Segmentation","created":"2025-07-26","cited_by_count":0,"area":"safety"},{"id":"2508.05409","title":"From Detection to Correction: Backdoor-Resilient Face Recognition via Vision-Language Trigger Detection and Noise-Based Neutralization","created":"2025-08-07","cited_by_count":0,"area":"safety"},{"id":"2603.07452","title":"Backdoor4Good: Benchmarking Beneficial Uses of Backdoors in LLMs","created":"2026-03-08","cited_by_count":0,"area":"safety"},{"id":"2604.20047","title":"PASTA: A Patch-Agnostic Twofold-Stealthy Backdoor Attack on Vision Transformers","created":"2026-04-21","cited_by_count":0,"area":"safety"},{"id":"2605.27809","title":"Density-aware Sample-specific Attack","created":"2026-05-27","cited_by_count":0,"area":"safety"},{"id":"2606.14078","title":"Rethinking Backdoor Adversarial Unlearning through the Lens of Catastrophic Forgetting in Continual Learning","created":"2026-06-12","cited_by_count":0,"area":"safety"},{"id":"2607.19894","title":"Defense Against LLM Backdoors using Critical Neuron Isolation Pruning","created":"2026-07-22","cited_by_count":0,"area":"safety"},{"id":"2608.24354","title":"Not All Tokens Are Equal: Region-Aware Consistency Repair of Backdoors in MLLMs","created":"2026-08-25","cited_by_count":0,"area":"safety"},{"id":"2609.08971","title":"NERVE Attacks: Breaking AI-Powered Brain-Computer Interfaces","created":"2026-09-08","cited_by_count":0,"area":"safety"},{"id":"2609.25579","title":"Rethinking Backdoor Repair Evaluation: Distinguishing Aggregate Clean Utility from Benign Performance Preservation","created":"2026-09-22","cited_by_count":0,"area":"safety"},{"id":"2610.00663","title":"Backdoor Containment via Expert Quarantine and Shutdown in LLMs","created":"2026-09-30","cited_by_count":0,"area":"safety"},{"id":"2610.00685","title":"Backdoor Purification for LoRA-Tuned LLMs via Null-Space Projection","created":"2026-09-30","cited_by_count":0,"area":"safety"}],"next_cursor":null}