Overview

Randomized smoothing studies how adding random perturbations to inputs or representations can make model predictions more stable and, in many settings, yield certified bounds on the perturbations an attacker can make. Common approaches use Gaussian noise and Monte Carlo estimates, while newer methods adapt the noise or use structured, discrete, or semantically meaningful perturbations. Work spans image classification and extends to language and multimodal models, audio, regression, and trajectory prediction. A central tension is making certificates cheaper and better matched to real attacks without letting the guarantee depend on unrealistic noise assumptions or overstate empirical robustness.

Latest papers

CardsList

25 papers1 paper in the last four weeks, against 2 the four weeks before. 0.0% of all new papers.

  1. The Geometry of Randomized Smoothing on Feasible Sets

    Sep 30, 2026Syed Izhan Khilji, Alireza Furutanpey, Schahram DustdarRandomized SmoothingSelective Prediction

  2. Bundled Contact Gradients: Stabilizing Differentiable Simulation for Deployable Dynamic Tasks

    Sep 25, 2026Dyuman Aditya, Jin Cheng, Clemens Schwarke +4Robotics SimulationDifferentiable Physics

  3. Clustered Randomized Smoothing for Stochastic Prediction Functions

    Aug 12, 2026Eduardo Figueiredo, Frederik Mathiesen, Julian Schumann +3Multimodal RobustnessRandomized Smoothing

  4. Higher-Order Certified Robustness for Regression

    Jul 6, 2026Jie Zhang, Natalie FrankRobust RegressionRandomized Smoothing

  5. TrajRS: Towards Certified Robustness in Pedestrian Trajectory Prediction

    Jun 27, 2026Liang Zhang, Gaojie Jin, Yao Shi +4Randomized SmoothingPedestrian Trajectory Prediction

  6. Halt Fast! Early Stopping for Certified Robustness

    Jun 26, 2026Andrew C. Cullen, Paul Montague, Benjamin I. P. RubinsteinEfficient Neural Network InferenceEarly Stopping

  7. Representation Matters in Randomized Smoothing for Audio Classification

    Jun 2, 2026Jong-Ik Park, Shreyas Chaudhari, José M. F. Moura +1Randomized SmoothingKeyword Spotting

  8. RRISE: Robust Radius Inference via a Surrogate Estimator

    Jun 1, 2026Jong-Ik Park, Shreyas Chaudhari, Carlee Joe-Wong +1Randomized SmoothingNeural Network Robustness

  9. Cert-LAS: Toward Certified Model Ownership Verification for Text-to-Image Diffusion Models via Layer-Adaptive Smoothing

    May 28, 2026Leyi Qi, Yiming Li, Siyuan Liang +2Diffusion Model WatermarkingRandomized Smoothing

  10. Provable Robustness against Backdoor Attacks via the Primal-Dual Perspective on Differential Privacy

    May 20, 2026Aman Saxena, Jan Schuchardt, Yan Scholten +1Randomized SmoothingAdversarial Robustness

  11. Semantic Smoothing via Novel View Synthesis for Robust SAR Image Classification

    May 15, 2026Daniel Brignac, Fengwei Tian, Banafsheh Latibari +2Adversarial RobustnessAdversarial Attacks

  12. Certified Robustness under Heterogeneous Perturbations via Hybrid Randomized Smoothing

    May 13, 2026Blaise Delattre, Hengyu Wu, Paul Caillon +2Multimodal RobustnessRandomized Smoothing

  13. Guaranteed Jailbreaking Defense via Disrupt-and-Rectify Smoothing

    May 11, 2026Zheng Lin, Zhenxing Niu, Haoxuan Ji +1Randomized SmoothingJailbreak Robustness

  14. Certified vs. Empirical Adversarial Robust-ness via Hybrid Convolutions with Attention Stochasticity

    May 2, 2026Joy Dhar, Song Xia, Manish Kumar Pandey +5Randomized SmoothingNeural Network Robustness

  15. Laplace-Bridged Randomized Smoothing for Fast Certified Robustness

    Apr 27, 2026Miao Lin, MD Saifur Rahman Mazumder, Feng Yu +2Randomized SmoothingNeural Network Robustness

  16. Towards Certified Malware Detection: Provable Guarantees Against Evasion Attacks

    Apr 22, 2026Nandakrishna Giri, Asmitha K. A., Serena Nicolazzo +2Randomized SmoothingAdversarial Attacks

  17. Directional Embedding Smoothing for Robust Vision Language Models

    Mar 16, 2026Ye Wang, Jing Liu, Toshiaki Koike-AkinoVLM SafetyVLM Robustness

  18. Evaluating randomized smoothing as a defense against adversarial attacks in trajectory prediction

    Mar 11, 2026Julian F. Schumann, Eduardo Figueiredo, Frederik Baymler Mathiesen +3Probabilistic Trajectory PredictionAdversarial Robustness

  19. Feature-Space Smoothing: Certified Robustness of Deep Representations

    Jan 22, 2026Song Xia, Meiwen Ding, Chenqi Kong +2Adversarial RobustnessCertified Robustness

  20. Dual Randomized Smoothing: Beyond Global Noise Variance

    Dec 1, 2025Chenhao Sun, Yuhao Mao, Martin VechevRandomized SmoothingNeural Network Robustness

  21. A stochastic smoothing framework for nonconvex-nonconcave minEmax problems with applications to Wasserstein distributionally robust optimization

    Feb 24, 2025Wei Liu, Muhammad Khan, Gabriel Mancino-Ball +1Randomized SmoothingNonconvex Stochastic Optimization