TensorShield: Tensor-based Defense Against Adversarial Attacks on Images Authors: Negin Entezari, Evangelos E. Papalexakis | Published: 2020-02-18 Performance EvaluationAdversarial ExampleDefense Method 2020.02.18 2025.05.28 Literature Database
Scalable Quantitative Verification For Deep Neural Networks Authors: Teodora Baluta, Zheng Leong Chua, Kuldeep S. Meel, Prateek Saxena | Published: 2020-02-17 | Updated: 2021-03-23 Robustness EvaluationEfficient Proof SystemAdversarial Example 2020.02.17 2025.05.28 Literature Database
More Data Can Expand the Generalization Gap Between Adversarially Robust and Standard Models Authors: Lin Chen, Yifei Min, Mingrui Zhang, Amin Karbasi | Published: 2020-02-11 | Updated: 2020-08-15 Robustness EvaluationAdversarial ExampleAdversarial Training 2020.02.11 2025.05.28 Literature Database
Fundamental Tradeoffs between Invariance and Sensitivity to Adversarial Perturbations Authors: Florian Tramèr, Jens Behrmann, Nicholas Carlini, Nicolas Papernot, Jörn-Henrik Jacobsen | Published: 2020-02-11 | Updated: 2020-08-04 Robustness EvaluationAdversarial ExampleAdversarial attack 2020.02.11 2025.05.28 Literature Database
Input Validation for Neural Networks via Runtime Local Robustness Verification Authors: Jiangchao Liu, Liqian Chen, Antoine Mine, Ji Wang | Published: 2020-02-09 | Updated: 2024-02-13 Robustness Improvement MethodAdversarial ExampleAdversarial Perturbation Techniques 2020.02.09 2025.05.28 Literature Database
Analysis of Random Perturbations for Robust Convolutional Neural Networks Authors: Adam Dziedzic, Sanjay Krishnan | Published: 2020-02-08 | Updated: 2020-06-07 Robustness Improvement MethodAdversarial ExampleAdversarial Perturbation Techniques 2020.02.08 2025.05.28 Literature Database
Renofeation: A Simple Transfer Learning Method for Improved Adversarial Robustness Authors: Ting-Wu Chin, Cha Zhang, Diana Marculescu | Published: 2020-02-07 | Updated: 2021-04-28 Robustness Improvement MethodAdversarial ExampleAdversarial Transferability 2020.02.07 2025.05.28 Literature Database
Assessing the Adversarial Robustness of Monte Carlo and Distillation Methods for Deep Bayesian Neural Network Classification Authors: Meet P. Vadera, Satya Narayan Shukla, Brian Jalaian, Benjamin M. Marlin | Published: 2020-02-07 Bayesian ClassificationPoisoningAdversarial Example 2020.02.07 2025.05.28 Literature Database
Understanding the Decision Boundary of Deep Neural Networks: An Empirical Study Authors: David Mickisch, Felix Assion, Florens Greßner, Wiebke Günther, Mariele Motta | Published: 2020-02-05 Robustness Improvement MethodConvergence PropertyAdversarial Example 2020.02.05 2025.05.28 Literature Database
Defending Adversarial Attacks via Semantic Feature Manipulation Authors: Shuo Wang, Tianle Chen, Surya Nepal, Carsten Rudolph, Marthie Grobler, Shangyu Chen | Published: 2020-02-03 | Updated: 2020-04-22 Robustness Improvement MethodAdversarial ExampleEffectiveness Analysis of Defense Methods 2020.02.03 2025.05.28 Literature Database