{"total":30,"rows":[{"id":"2311.15551","title":"Instruct2Attack: Language-Guided Semantic Adversarial Attacks","created":"2023-11-27","cited_by_count":16,"area":null},{"id":"2408.17064","title":"Instant Adversarial Purification with Adversarial Consistency Distillation","created":"2024-08-30","cited_by_count":14,"area":null},{"id":"2405.07595","title":"Environmental Matching Attack Against Unmanned Aerial Vehicles Object Detection","created":"2024-05-13","cited_by_count":11,"area":null},{"id":"2504.14541","title":"Towards Model Resistant to Transferable Adversarial Examples via Trigger Activation","created":"2025-04-20","cited_by_count":10,"area":null},{"id":"2407.06315","title":"Shedding More Light on Robust Classifiers under the lens of Energy-based Models","created":"2024-07-08","cited_by_count":9,"area":null},{"id":"2501.05783","title":"UV-Attack: Physical-World Adversarial Attacks for Person Detection via Dynamic-NeRF-based UV Mapping","created":"2025-01-10","cited_by_count":9,"area":null},{"id":"2503.09124","title":"AdvAD: Exploring Non-Parametric Diffusion for Imperceptible Adversarial Attacks","created":"2025-03-12","cited_by_count":8,"area":null},{"id":"2512.08176","title":"Worst-case generation via minimax optimization in Wasserstein space","created":"2025-12-09","cited_by_count":7,"area":null},{"id":"2310.04285","title":"Assessing Robustness via Score-Based Adversarial Image Generation","created":"2023-10-06","cited_by_count":6,"area":null},{"id":"2511.00143","title":"BlurGuard: A Simple Approach for Robustifying Image Protection Against AI-Powered Editing","created":"2025-10-31","cited_by_count":5,"area":null},{"id":"2306.00353","title":"Constructing Semantics-Aware Adversarial Examples with a Probabilistic Perspective","created":"2023-06-01","cited_by_count":4,"area":null},{"id":"2312.17431","title":"MVPatch: More Vivid Patch for Adversarial Camouflaged Attacks on Object Detectors in the Physical World","created":"2023-12-29","cited_by_count":4,"area":null},{"id":"2412.08053","title":"DynamicPAE: Generating Scene-Aware Physical Adversarial Examples in Real-Time","created":"2024-12-11","cited_by_count":4,"area":null},{"id":"2505.22486","title":"Understanding Adversarial Training with Energy-based Models","created":"2025-05-28","cited_by_count":2,"area":null},{"id":"2506.06027","title":"Sample-Specific Noise Injection For Diffusion-Based Adversarial Purification","created":"2025-06-06","cited_by_count":2,"area":null},{"id":"2508.13309","title":"DASH: A Meta-Attack Framework for Synthesizing Effective and Stealthy Adversarial Examples","created":"2025-08-18","cited_by_count":2,"area":null},{"id":"2606.24696","title":"A Physics-Informed Fourier-Wavelet Transformer for Multiscale Computational Fluid Dynamics Surrogate Modeling","created":"2026-06-23","cited_by_count":2,"area":null},{"id":"2405.16226","title":"Detecting Adversarial Data using Perturbation Forgery","created":"2024-05-25","cited_by_count":1,"area":null},{"id":"2407.08678","title":"How to beat a Bayesian adversary","created":"2024-07-11","cited_by_count":1,"area":null},{"id":"2502.02096","title":"Dual-Flow: Transferable Multi-Target, Instance-Agnostic Attacks via In-the-wild Cascading Flow Optimization","created":"2025-02-04","cited_by_count":1,"area":null},{"id":"2507.07776","title":"SCOOTER: A Human Evaluation Framework for Unrestricted Adversarial Examples","created":"2025-07-10","cited_by_count":1,"area":null},{"id":"2508.00552","title":"DBLP: Noise Bridge Consistency Distillation For Efficient And Reliable Adversarial Purification","created":"2025-08-01","cited_by_count":1,"area":null},{"id":"2412.03539","title":"NODE-AdvGAN: Improving the transferability and perceptual similarity of adversarial examples by dynamic-system-driven adversarial generative model","created":"2024-12-04","cited_by_count":0,"area":null},{"id":"2412.20025","title":"Causal Interpretability for Adversarial Robustness: A Hybrid Generative Classification Approach","created":"2024-12-28","cited_by_count":0,"area":null},{"id":"2602.06578","title":"Exploring Sparsity and Smoothness of Arbitrary Lp Norms in Adversarial Attacks","created":"2026-02-06","cited_by_count":0,"area":null},{"id":"2603.19456","title":"In-the-Wild Camouflage Attack on Vehicle Detectors through Controllable Image Editing","created":"2026-03-19","cited_by_count":0,"area":null},{"id":"2605.02109","title":"Detecting Adversarial Data via Provable Adversarial Noise Amplification","created":"2026-05-04","cited_by_count":0,"area":null},{"id":"2605.31219","title":"Latent Geometric Chords for Query-Efficient Decision-Based Adversarial Attacks","created":"2026-05-29","cited_by_count":0,"area":null},{"id":"2606.27832","title":"USAD: Uncertainty-aware Statistical Adversarial Detection","created":"2026-06-26","cited_by_count":0,"area":null},{"id":"2608.10237","title":"Beyond Decision Boundaries: Relational Geometry Attacks on Contrastive Embedding Manifolds","created":"2026-08-10","cited_by_count":0,"area":null}],"next_cursor":null}