Native Robustness

February 1, 2023

Towards Large Certified Radius in Randomized Smoothing using Quasiconcave Optimization
Bo-Han Kung, Shang-Tse Chen
Native Robustness Practical Algorithm Randomized Smoothing Smoothing Algorithm Quasi Convex Optimization

January 31, 2023

Deep Active Learning for Scientific Computing in the Wild
Simiao Ren, Yang Deng, Willie J. Padilla, Leslie Collins, Jordan Malof
Deep Learning Native Robustness Active Learning Wild Challenge Deep Active Learning Scientific Computing
The Impacts of Unanswerable Questions on the Robustness of Machine Reading Comprehension Models
Son Quoc Tran, Phong Nguyen-Thuan Do, Uyen Le, Matt Kretchmar
Adversarial Attack Native Robustness Language Understanding Pretrained Language Model Reading Comprehension Impact Assessment Unanswerable Question
Interpreting Robustness Proofs of Deep Neural Networks
Debangshu Banerjee, Avaljot Singh, Gagandeep Singh
Deep Neural Network Native Robustness Robust Training Robustness Guarantee Interpretable Feature
Are Defenses for Graph Neural Networks Robust?
Felix Mujkanovic, Simon Geisler, Stephan Günnemann, Aleksandar Bojchevski
Graph Neural Network Native Robustness Adaptive Attack
Learning Against Distributional Uncertainty: On the Trade-off Between Robustness and Specificity
Shixiong Wang, Haowei Wang, Jean Honorio
LeArning Abstract Native Robustness Regularization Model Robust Optimization Trustworthy Machine Learning Distributional Uncertainty
Robust Linear Regression: Gradient-descent, Early-stopping, and Beyond
Meyer Scetbon, Elvis Dohmatob
Adversarial Attack Native Robustness Robust Model Robust Regression Early Stopping Adversarial Risk
Optimal Transport Perturbations for Safe Reinforcement Learning with Robustness Guarantees
James Queeney, Erhan Can Ozcan, Ioannis Ch. Paschalidis, Christos G. Cassandras
Reinforcement Learning Deep Reinforcement Learning Native Robustness Optimal Transport Safe Reinforcement Learning Robustness Guarantee

January 30, 2023

January 29, 2023

Improving the Accuracy-Robustness Trade-Off of Classifiers via Adaptive Smoothing
Yatong Bai, Brendon G. Anderson, Aerin Kim, Somayeh Sojoudi
Native Robustness Adversarial Robustness Simple Classifier Robust Classifier Accuracy Robustness Adversarial Region Adaptive Smoothing

January 28, 2023

Analyzing Robustness of the Deep Reinforcement Learning Algorithm in Ramp Metering Applications Considering False Data Injection Attack and Defense
Diyi Liu, Lanmin Liu, Lee D Han
Deep Reinforcement Learning Native Robustness Deep Q Learning False Data Injection Attack Ramp Metering

January 27, 2023

January 26, 2023

Certified Interpretability Robustness for Class Activation Mapping
Alex Gu, Tsui-Wei Weng, Pin-Yu Chen, Sijia Liu, Luca Daniel
Native Robustness Class Activation Robustness Guarantee Robust Interpretation

January 18, 2023

On solving decision and risk management problems subject to uncertainty
Alexander Gutfraind
Native Robustness High Uncertainty Anticipation Multi Objective Optimization Decision Relevant Information Risk Management Cognitive Heuristic Decision Problem

January 17, 2023

Adversarial Robust Deep Reinforcement Learning Requires Redefining Robustness
Ezgi Korkmaz
Reinforcement Learning Native Robustness Robust Policy Adversarial Reinforcement Learning Deep Policy

January 10, 2023

On the Robustness of AlphaFold: A COVID-19 Case Study
Ismail Alkhouri, Sumit Jha, Andre Beckus, George Atia, Alvaro Velasquez, Rickard Ewetz, Arvind Ramanathan, Susmit Jha
Native Robustness Protein Sequence Protein Structure COVID 19 Case Adversarial Pattern

January 9, 2023

On the Susceptibility and Robustness of Time Series Models through Adversarial Attack and Defense
Asadullah Hill Galib, Bidhan Bashyal
Adversarial Attack Native Robustness Backdoor Attack Adversarial DEfense Time Series Model

Papers

Towards Large Certified Radius in Randomized Smoothing using Quasiconcave Optimization

Deep Active Learning for Scientific Computing in the Wild

The Impacts of Unanswerable Questions on the Robustness of Machine Reading Comprehension Models

Interpreting Robustness Proofs of Deep Neural Networks

Are Defenses for Graph Neural Networks Robust?

Learning Against Distributional Uncertainty: On the Trade-off Between Robustness and Specificity

Robust Linear Regression: Gradient-descent, Early-stopping, and Beyond

Optimal Transport Perturbations for Safe Reinforcement Learning with Robustness Guarantees

Benchmarking Robustness to Adversarial Image Obfuscations

On Robustness of Prompt-based Semantic Parsing with Large Pre-trained Language Model: An Empirical Study on Codex

Red teaming ChatGPT via Jailbreaking: Bias, Robustness, Reliability and Toxicity

Improving the Accuracy-Robustness Trade-Off of Classifiers via Adaptive Smoothing

Analyzing Robustness of the Deep Reinforcement Learning Algorithm in Ramp Metering Applications Considering False Data Injection Attack and Defense

OccRob: Efficient SMT-Based Occlusion Robustness Verification of Deep Neural Networks

Policy-Value Alignment and Robustness in Search-based Multi-Agent Learning

Certified Interpretability Robustness for Class Activation Mapping

On solving decision and risk management problems subject to uncertainty

Adversarial Robust Deep Reinforcement Learning Requires Redefining Robustness

On the Robustness of AlphaFold: A COVID-19 Case Study

On the Susceptibility and Robustness of Time Series Models through Adversarial Attack and Defense