{"total":81,"rows":[{"id":"2305.10862","title":"How Deep Learning Sees the World: A Survey on Adversarial Attacks & Defenses","created":"2023-05-18","cited_by_count":66,"area":null},{"id":"2303.09051","title":"Robust Evaluation of Diffusion-Based Adversarial Purification","created":"2023-03-16","cited_by_count":65,"area":null},{"id":"2202.13711","title":"Evaluating the Adversarial Robustness of Adaptive Test-time Defenses","created":"2022-02-28","cited_by_count":64,"area":null},{"id":"2211.03536","title":"Knowledge Graph Embedding: A Survey from the Perspective of Representation Spaces","created":"2022-11-07","cited_by_count":41,"area":null},{"id":"2210.06284","title":"Visual Prompting for Adversarial Robustness","created":"2022-10-12","cited_by_count":34,"area":null},{"id":"2212.05630","title":"DISCO: Adversarial Defense with Local Implicit Functions","created":"2022-12-11","cited_by_count":34,"area":null},{"id":"2209.07754","title":"On the Robustness of Graph Neural Diffusion to Topology Perturbations","created":"2022-09-16","cited_by_count":30,"area":null},{"id":"2305.16780","title":"Graph Neural Convection-Diffusion with Heterophily","created":"2023-05-26","cited_by_count":26,"area":null},{"id":"2310.06396","title":"Adversarial Robustness in Graph Neural Networks: A Hamiltonian Approach","created":"2023-10-10","cited_by_count":24,"area":null},{"id":"2211.11238","title":"RobustLoc: Robust Camera Pose Regression in Challenging Driving Environments","created":"2022-11-21","cited_by_count":18,"area":null},{"id":"2301.12554","title":"Improving the Accuracy-Robustness Trade-Off of Classifiers via Adaptive Smoothing","created":"2023-01-29","cited_by_count":18,"area":null},{"id":"2404.17099","title":"Unleashing the Potential of Fractional Calculus in Graph Neural Networks with FROND","created":"2024-04-26","cited_by_count":17,"area":null},{"id":"2503.01811","title":"AutoAdvExBench: Benchmarking autonomous exploitation of adversarial example defenses","created":"2025-03-03","cited_by_count":15,"area":null},{"id":"2203.11805","title":"Robust Classification using Contractive Hamiltonian Neural ODEs","created":"2022-03-22","cited_by_count":13,"area":null},{"id":"2209.14826","title":"Towards Lightweight Black-Box Attacks against Deep Neural Networks","created":"2022-09-29","cited_by_count":13,"area":null},{"id":"2408.00496","title":"SegStitch: Multidimensional Transformer for Robust and Efficient Medical Imaging Segmentation","created":"2024-08-01","cited_by_count":13,"area":null},{"id":"2305.18965","title":"Node Embedding from Neural Hamiltonian Orbits in Graph Neural Networks","created":"2023-05-30","cited_by_count":12,"area":null},{"id":"2305.00139","title":"Leveraging Label Non-Uniformity for Node Classification in Graph Neural Networks","created":"2023-04-29","cited_by_count":11,"area":null},{"id":"2304.12707","title":"Lyapunov-Stable Deep Equilibrium Models","created":"2023-04-25","cited_by_count":10,"area":null},{"id":"2401.04331","title":"Coupling Graph Neural Networks with Fractional Order Continuous Dynamics: A Robustness Study","created":"2024-01-09","cited_by_count":9,"area":null},{"id":"2304.02976","title":"Unconstrained Parametrization of Dissipative and Contracting Neural Ordinary Differential Equations","created":"2023-04-06","cited_by_count":8,"area":null},{"id":"2210.03429","title":"Adversarially Robust Prototypical Few-shot Segmentation with Neural-ODEs","created":"2022-10-07","cited_by_count":6,"area":null},{"id":"2401.04986","title":"Structure-Preserving Physics-Informed Neural Networks With Energy or Lyapunov Structure","created":"2024-01-10","cited_by_count":6,"area":null},{"id":"2404.14034","title":"PointDifformer: Robust Point Cloud Registration With Neural Diffusion and Transformer","created":"2024-04-22","cited_by_count":6,"area":null},{"id":"2410.10744","title":"Adversarially Robust Out-of-Distribution Detection Using Lyapunov-Stabilized Embeddings","created":"2024-10-14","cited_by_count":6,"area":null},{"id":"2503.16207","title":"Neural Variable-Order Fractional Differential Equation Networks","created":"2025-03-20","cited_by_count":6,"area":null},{"id":"2206.12963","title":"Self-Healing Robust Neural Networks via Closed-Loop Control","created":"2022-06-26","cited_by_count":5,"area":null},{"id":"2208.12428","title":"Robust Prototypical Few-Shot Organ Segmentation with Regularized Neural-ODEs","created":"2022-08-26","cited_by_count":5,"area":null},{"id":"2311.03904","title":"RobustMat: Neural Diffusion for Street Landmark Patch Matching under Challenging Environments","created":"2023-11-07","cited_by_count":5,"area":null},{"id":"2408.08055","title":"DeNOTS: Stable Deep Neural ODEs for Time Series","created":"2024-08-15","cited_by_count":5,"area":null},{"id":"2411.02292","title":"ControlSynth Neural ODEs: Modeling Dynamical Systems with Guaranteed Convergence","created":"2024-11-04","cited_by_count":5,"area":null},{"id":"2312.09481","title":"Continual Adversarial Defense","created":"2023-12-15","cited_by_count":4,"area":null},{"id":"2410.04577","title":"Robustness Reprogramming for Representation Learning","created":"2024-10-06","cited_by_count":4,"area":null},{"id":"2206.06496","title":"Towards Alternative Techniques for Improving Adversarial Robustness: Analysis of Adversarial Training at a Spectrum of Perturbations","created":"2022-06-13","cited_by_count":3,"area":null},{"id":"2210.16940","title":"FI-ODE: Certifiably Robust Forward Invariance in Neural ODEs","created":"2022-10-30","cited_by_count":3,"area":null},{"id":"2303.05246","title":"Efficient Certified Training and Robustness Verification of Neural ODEs","created":"2023-03-09","cited_by_count":3,"area":null},{"id":"2307.11672","title":"Robust Feature Inference: A Test-time Defense Strategy using Spectral Projections","created":"2023-07-21","cited_by_count":3,"area":null},{"id":"2401.03167","title":"PosDiffNet: Positional Neural Diffusion for Point Cloud Registration in a Large Field of View with Perturbations","created":"2024-01-06","cited_by_count":3,"area":null},{"id":"2409.15190","title":"Interpretability-Guided Test-Time Adversarial Defense","created":"2024-09-23","cited_by_count":3,"area":null},{"id":"2503.16666","title":"Efficient Training of Neural Fractional-Order Differential Equation via Adjoint Backpropagation","created":"2025-03-20","cited_by_count":3,"area":null},{"id":"2508.01833","title":"Neural Predictive Control to Coordinate Discrete- and Continuous-Time Models for Time-Series Analysis with Control-Theoretical Improvements","created":"2025-08-03","cited_by_count":3,"area":null},{"id":"2212.07815","title":"Adversarially Robust Video Perception by Seeing Motion","created":"2022-12-13","cited_by_count":2,"area":null},{"id":"2302.10892","title":"Eigen-informed NeuralODEs: Dealing with stability and convergence issues of NeuralODEs","created":"2023-02-07","cited_by_count":2,"area":null},{"id":"2306.01435","title":"Improving Adversarial Robustness of DEQs with Explicit Regulations Along the Neural Dynamics","created":"2023-06-02","cited_by_count":2,"area":null},{"id":"2410.04939","title":"PRFusion: Toward Effective and Robust Multi-Modal Place Recognition with Image and Point Cloud Fusion","created":"2024-10-07","cited_by_count":2,"area":null},{"id":"2410.21952","title":"On the Robustness of Adversarial Training Against Uncertainty Attacks","created":"2024-10-29","cited_by_count":2,"area":null},{"id":"2510.09685","title":"Deep Neural Networks Inspired by Differential Equations","created":"2025-10-09","cited_by_count":2,"area":null},{"id":"2510.19716","title":"LyTimeT: Towards Robust and Interpretable State-Variable Discovery","created":"2025-10-22","cited_by_count":2,"area":null},{"id":"2211.05854","title":"Test-time adversarial detection and robustness for localizing humans using ultra wide band channel impulse responses","created":"2022-11-10","cited_by_count":1,"area":null},{"id":"2306.16614","title":"Group-based Robustness: A General Framework for Customized Robustness in the Real World","created":"2023-06-29","cited_by_count":1,"area":null},{"id":"2308.06612","title":"On the Interplay of Convolutional Padding and Adversarial Robustness","created":"2023-08-12","cited_by_count":1,"area":null},{"id":"2310.11890","title":"IRAD: Implicit Representation-driven Image Resampling against Adversarial Attacks","created":"2023-10-18","cited_by_count":1,"area":null},{"id":"2311.06942","title":"Resilient Graph Neural Networks: A Coupled Dynamical Systems Approach","created":"2023-11-12","cited_by_count":1,"area":null},{"id":"2406.08829","title":"Improving Adversarial Robustness via Feature Pattern Consistency Constraint","created":"2024-06-13","cited_by_count":1,"area":null},{"id":"2411.13914","title":"ICODE: Modeling Dynamical Systems with Extrinsic Input Information","created":"2024-11-21","cited_by_count":1,"area":null},{"id":"2504.08414","title":"Adversarial Examples in Environment Perception for Automated Driving (Review)","created":"2025-04-11","cited_by_count":1,"area":null},{"id":"2511.00904","title":"Random Spiking Neural Networks are Stable and Spectrally Simple","created":"2025-11-02","cited_by_count":1,"area":null},{"id":"2603.18331","title":"Understanding the Theoretical Foundations of Deep Neural Networks through Differential Equations","created":"2026-03-18","cited_by_count":1,"area":null},{"id":"2605.10613","title":"Exact Fixed-Point Constraints in Neural-ODEs with Provable Universality","created":"2026-05-11","cited_by_count":1,"area":null},{"id":"2607.04531","title":"Lyapunov-Guided Training for Hardware-Safe Neural Networks Under Fixed-Point Arithmetic","created":"2026-07-05","cited_by_count":1,"area":null},{"id":"2205.10617","title":"Gradient Concealment: Free Lunch for Defending Adversarial Attacks","created":"2022-05-21","cited_by_count":0,"area":null},{"id":"2205.13933","title":"Standalone Neural ODEs with Sensitivity Analysis","created":"2022-05-27","cited_by_count":0,"area":null},{"id":"2206.00924","title":"FACM: Intermediate Layer Still Retain Effective Features against Adversarial Examples","created":"2022-06-02","cited_by_count":0,"area":null},{"id":"2206.08237","title":"Noisy Learning for Neural ODEs Acts as a Robustness Locus Widening","created":"2022-06-16","cited_by_count":0,"area":null},{"id":"2303.01030","title":"Node Embedding from Hamiltonian Information Propagation in Graph Neural Networks","created":"2023-03-02","cited_by_count":0,"area":null},{"id":"2307.03630","title":"PAC bounds of continuous Linear Parameter-Varying systems related to neural ODEs","created":"2023-07-07","cited_by_count":0,"area":null},{"id":"2309.00007","title":"When Measures are Unreliable: Imperceptible Adversarial Perturbations toward Top-$k$ Multi-Label Learning","created":"2023-07-27","cited_by_count":0,"area":null},{"id":"2404.06313","title":"On adversarial training and the 1 Nearest Neighbor classifier","created":"2024-04-09","cited_by_count":0,"area":null},{"id":"2405.06345","title":"Evaluating Adversarial Robustness in the Spatial Frequency Domain","created":"2024-05-10","cited_by_count":0,"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":"2508.11432","title":"Robust Convolution Neural ODEs via Contractivity-promoting regularization","created":"2025-08-15","cited_by_count":0,"area":null},{"id":"2509.21879","title":"Learning Aligned Stability in Neural ODEs Reconciling Accuracy with Robustness","created":"2025-09-26","cited_by_count":0,"area":null},{"id":"2510.05707","title":"Stable Robot Motions on Manifolds: Learning Lyapunov-Constrained Neural Manifold ODEs","created":"2025-10-07","cited_by_count":0,"area":null},{"id":"2510.22299","title":"Stable neural networks and connections to continuous dynamical systems","created":"2025-10-25","cited_by_count":0,"area":null},{"id":"2511.21846","title":"LILAD: Learning In-context Lyapunov-stable Adaptive Dynamics Models","created":"2025-11-26","cited_by_count":0,"area":null},{"id":"2602.04608","title":"Jacobian Regularization Stabilizes Long-Term Integration of Neural Differential Equations","created":"2026-02-04","cited_by_count":0,"area":null},{"id":"2603.12557","title":"Lyapunov Stable Graph Neural Flow","created":"2026-03-13","cited_by_count":0,"area":null},{"id":"2608.10738","title":"Long-Time Trajectory Approximation via SA-NODEs: Model Predictive and Floquet Strategies","created":"2026-08-11","cited_by_count":0,"area":null},{"id":"2609.08683","title":"Neither Adversarial Training Nor Purification: Emergent Adversarial Robustness from Oscillatory Predictive Learning","created":"2026-09-08","cited_by_count":0,"area":null},{"id":"2609.32289","title":"Neural ODEs Meet Concurrent Learning: Stable Online Learning with Lyapunov Guarantees","created":"2026-09-26","cited_by_count":0,"area":null},{"id":"2609.36942","title":"Safe-by-Design Learning via Energy-based Neural Networks","created":"2026-09-29","cited_by_count":0,"area":null}],"next_cursor":null}