{"total":64,"rows":[{"id":"2405.14077","title":"Learning to Transform Dynamically for Better Adversarial Transferability","created":"2024-05-23","cited_by_count":23,"area":null},{"id":"2410.20197","title":"Transferable Adversarial Attacks on SAM and Its Downstream Models","created":"2024-10-26","cited_by_count":21,"area":null},{"id":"2511.21192","title":"When Robots Obey the Patch: Universal Transferable Patch Attacks on Vision-Language-Action Models","created":"2025-11-26","cited_by_count":13,"area":"vla"},{"id":"2505.19911","title":"Attention! Your Vision Language Model Could Be Maliciously Manipulated","created":"2025-05-26","cited_by_count":12,"area":"mllm"},{"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":"2511.07049","title":"From Pretrain to Pain: Adversarial Vulnerability of Video Foundation Models Without Task Knowledge","created":"2025-11-10","cited_by_count":9,"area":"mllm"},{"id":"2401.08903","title":"Rethinking Impersonation and Dodging Attacks on Face Recognition Systems","created":"2024-01-17","cited_by_count":8,"area":null},{"id":"2405.16181","title":"Boosting Adversarial Transferability with Low-Cost Optimization via Maximin Expected Flatness","created":"2024-05-25","cited_by_count":7,"area":null},{"id":"2409.02483","title":"TASAR: Transfer-based Attack on Skeletal Action Recognition","created":"2024-09-04","cited_by_count":7,"area":null},{"id":"2410.06851","title":"Understanding Model Ensemble in Transferable Adversarial Attack","created":"2024-10-09","cited_by_count":7,"area":null},{"id":"2503.15404","title":"Improving Adversarial Transferability on Vision Transformers via Forward Propagation Refinement","created":"2025-03-19","cited_by_count":7,"area":null},{"id":"2508.07402","title":"ForensicsSAM: Toward Robust and Unified Image Forgery Detection and Localization Resisting to Adversarial Attack","created":"2025-08-10","cited_by_count":6,"area":null},{"id":"2311.06423","title":"Transferability Bound Theory: Exploring Relationship between Adversarial Transferability and Flatness","created":"2023-11-10","cited_by_count":5,"area":null},{"id":"2508.13739","title":"Enhancing Targeted Adversarial Attacks on Large Vision-Language Models via Intermediate Projector","created":"2025-08-19","cited_by_count":5,"area":"mllm"},{"id":"2405.16940","title":"Adversarial Attacks on Both Face Recognition and Face Anti-spoofing Models","created":"2024-05-27","cited_by_count":4,"area":null},{"id":"2411.15555","title":"Improving the Transferability of Adversarial Attacks on Face Recognition with Diverse Parameters Augmentation","created":"2024-11-23","cited_by_count":4,"area":null},{"id":"2311.17087","title":"Rethinking Mixup for Improving the Adversarial Transferability","created":"2023-11-28","cited_by_count":3,"area":null},{"id":"2405.03193","title":"Exploring Frequencies via Feature Mixing and Meta-Learning for Improving Adversarial Transferability","created":"2024-05-06","cited_by_count":3,"area":null},{"id":"2502.21048","title":"Data-free Universal Adversarial Perturbation with Pseudo-semantic Prior","created":"2025-02-28","cited_by_count":3,"area":null},{"id":"2505.21181","title":"Boosting Adversarial Transferability via High-Frequency Augmentation and Hierarchical-Gradient Fusion","created":"2025-05-27","cited_by_count":3,"area":null},{"id":"2506.01511","title":"Enhancing Diffusion-based Unrestricted Adversarial Attacks via Adversary Preferences Alignment","created":"2025-06-02","cited_by_count":3,"area":"diffusion"},{"id":"2507.06078","title":"ScoreAdv: Score-based Targeted Generation of Natural Adversarial Examples via Diffusion Models","created":"2025-07-08","cited_by_count":3,"area":"diffusion"},{"id":"2502.08079","title":"MAA: Meticulous Adversarial Attack against Vision-Language Pre-trained Models","created":"2025-02-12","cited_by_count":2,"area":"mllm"},{"id":"2502.17003","title":"Information-Geometric Inverse Distillation for Enhancing Adversarial Transferability","created":"2025-02-24","cited_by_count":2,"area":null},{"id":"2503.06140","title":"Boosting the Local Invariance for Better Adversarial Transferability","created":"2025-03-08","cited_by_count":2,"area":null},{"id":"2503.12827","title":"GSBA$^K$: $top$-$K$ Geometric Score-based Black-box Attack","created":"2025-03-17","cited_by_count":2,"area":null},{"id":"2511.08937","title":"Boosting Adversarial Transferability via Ensemble Non-Attention","created":"2025-11-12","cited_by_count":2,"area":null},{"id":"2312.03030","title":"Generating Visually Realistic Adversarial Patch","created":"2023-12-05","cited_by_count":1,"area":null},{"id":"2410.08950","title":"On the Adversarial Transferability of Generalized \"Skip Connections\"","created":"2024-10-11","cited_by_count":1,"area":null},{"id":"2410.13891","title":"S$^4$ST: A Strong, Self-transferable, faSt, and Simple Scale Transformation for Transferable Targeted Attack","created":"2024-10-13","cited_by_count":1,"area":null},{"id":"2501.11901","title":"Enhancing Adversarial Transferability via Component-Wise Transformation","created":"2025-01-21","cited_by_count":1,"area":null},{"id":"2503.00932","title":"Improving the Transferability of Adversarial Attacks by an Input Transpose","created":"2025-03-02","cited_by_count":1,"area":null},{"id":"2507.16052","title":"Disrupting Semantic and Abstract Features for Better Adversarial Transferability","created":"2025-07-21","cited_by_count":1,"area":null},{"id":"2508.05689","title":"Boosting Adversarial Transferability via Residual Perturbation Attack","created":"2025-08-06","cited_by_count":1,"area":null},{"id":"2508.12384","title":"ViT-EnsembleAttack: Augmenting Ensemble Models for Stronger Adversarial Transferability in Vision Transformers","created":"2025-08-17","cited_by_count":1,"area":null},{"id":"2509.07495","title":"Generating Transferrable Adversarial Examples via Local Mixing and Logits Optimization for Remote Sensing Object Recognition","created":"2025-09-09","cited_by_count":1,"area":null},{"id":"2601.17536","title":"OTI: A Model-free and Visually Interpretable Measure of Image Attackability","created":"2026-01-24","cited_by_count":1,"area":null},{"id":"2601.23179","title":"Universal Adversarial Attacks against Closed-Source MLLMs via Target-View Routed Meta Optimization","created":"2026-01-30","cited_by_count":1,"area":"mllm"},{"id":"2602.19096","title":"The Power of Decaying Steps: Enhancing Attack Stability and Transferability for Sign-based Optimizers","created":"2026-02-22","cited_by_count":1,"area":null},{"id":"2407.01925","title":"Looking From the Future: Multi-order Iterations Can Enhance Adversarial Attack Transferability","created":"2024-07-02","cited_by_count":0,"area":null},{"id":"2407.15683","title":"Enhancing Transferability of Targeted Adversarial Examples: A Self-Universal Perspective","created":"2024-07-22","cited_by_count":0,"area":null},{"id":"2408.05745","title":"Improving Adversarial Transferability with Neighbourhood Gradient Information","created":"2024-08-11","cited_by_count":0,"area":null},{"id":"2504.14137","title":"Rethinking Target Label Conditioning in Adversarial Attacks: A 2D Tensor-Guided Generative Approach","created":"2025-04-19","cited_by_count":0,"area":null},{"id":"2504.18594","title":"RaPA: Enhancing Transferable Targeted Attacks via Random Parameter Pruning","created":"2025-04-24","cited_by_count":0,"area":null},{"id":"2505.17807","title":"Temporal Consistency Constrained Transferable Adversarial Attacks with Background Mixup for Action Recognition","created":"2025-05-23","cited_by_count":0,"area":null},{"id":"2506.10459","title":"Boosting Adversarial Transferability for Hyperspectral Image Classification Using 3D Structure-invariant Transformation and Weighted Intermediate Feature Divergence","created":"2025-06-12","cited_by_count":0,"area":null},{"id":"2507.01791","title":"Boosting Adversarial Transferability Against Defenses via Multi-Scale Transformation","created":"2025-07-02","cited_by_count":0,"area":null},{"id":"2508.06127","title":"SAM Encoder Breach by Adversarial Simplicial Complex Triggers Downstream Model Failures","created":"2025-08-08","cited_by_count":0,"area":null},{"id":"2510.03320","title":"Attack logics, not outputs: Towards efficient robustification of deep neural networks by falsifying concept-based properties","created":"2025-10-01","cited_by_count":0,"area":null},{"id":"2511.11993","title":"Dynamic Parameter Optimization for Highly Transferable Transformation-Based Attacks","created":"2025-11-15","cited_by_count":0,"area":null},{"id":"2511.17688","title":"Enhancing Adversarial Transferability through Block Stretch and Shrink","created":"2025-11-21","cited_by_count":0,"area":null},{"id":"2601.10324","title":"SRAW-Attack: Space-Reweighted Adversarial Warping Attack for SAR Target Recognition","created":"2026-01-15","cited_by_count":0,"area":null},{"id":"2601.12304","title":"A Two-Stage Globally-Diverse Adversarial Attack for Vision-Language Pre-training Models","created":"2026-01-18","cited_by_count":0,"area":"mllm"},{"id":"2602.01574","title":"SGHA-Attack: Semantic-Guided Hierarchical Alignment for Transferable Targeted Attacks on Vision-Language Models","created":"2026-02-02","cited_by_count":0,"area":"mllm"},{"id":"2602.23117","title":"Devling into Adversarial Transferability on Image Classification: Review, Benchmark, and Evaluation","created":"2026-02-26","cited_by_count":0,"area":null},{"id":"2603.04839","title":"Towards Highly Transferable Vision-Language Attack via Semantic-Augmented Dynamic Contrastive Interaction","created":"2026-03-05","cited_by_count":0,"area":"mllm"},{"id":"2603.25230","title":"A Unified Spatial Alignment Framework for Highly Transferable Transformation-Based Attacks on Spatially Structured Tasks","created":"2026-03-26","cited_by_count":0,"area":null},{"id":"2603.25244","title":"Fast Preemptive Robustification: High-Frequency Response Anti-Aligns Shared Vulnerability","created":"2026-03-26","cited_by_count":0,"area":null},{"id":"2604.06954","title":"Compression as an Adversarial Amplifier Through Decision Space Reduction","created":"2026-04-08","cited_by_count":0,"area":null},{"id":"2605.15584","title":"AGC: Adaptive Geodesic Correction for Adversarial Robustness on Vision-Language Models","created":"2026-05-15","cited_by_count":0,"area":"mllm"},{"id":"2606.22516","title":"The Scissors Effect: When Resize-Based Input Diversity Helps or Hurts Transfer Attacks","created":"2026-06-21","cited_by_count":0,"area":null},{"id":"2607.11560","title":"Technical Report on the CVPR 2026@AdvML Workshop Challenge","created":"2026-07-13","cited_by_count":0,"area":null},{"id":"2607.15246","title":"ARMOR++: Agentic Orchestration of a Multi-Domain Primitive Set for Transferable Attacks on Deepfake Detectors","created":"2026-07-16","cited_by_count":0,"area":"agents"},{"id":"2608.15115","title":"Perspective-Invariant Attack with Enhanced Transferability of Adversarial Examples","created":"2026-08-15","cited_by_count":0,"area":null}],"next_cursor":null}