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AI Safety

2972 directly classified papers

Papers per year

Papers

The #DNN-Verification Problem: Counting Unsafe Inputs for Deep Neural Networks IJCAI 2023
Boosting Decision-Based Black-Box Adversarial Attack with Gradient Priors IJCAI 2023
An Analysis of Robustness of Non-Lipschitz Networks JMLR 2023
Computer says “No”: The Case Against Empathetic Conversational AI ACL 2023
Detecting Edit Failures In Large Language Models: An Improved Specificity Benchmark ACL 2023
Privacy Aware Question-Answering System for Online Mental Health Risk Assessment ACL 2023
BNN-DP: Robustness Certification of Bayesian Neural Networks via Dynamic Programming ICML 2023
From Robustness to Privacy and Back ICML 2023
Sequential Strategic Screening ICML 2023
Trapdoor Normalization with Irreversible Ownership Verification ICML 2023
Contextual Conservative Interleaving Bandits ICML 2023
Towards Reliable Neural Specifications ICML 2023
Adversarial Example Does Good: Preventing Painting Imitation from Diffusion Models via Adversarial Examples ICML 2023
Escaping saddle points in zeroth-order optimization: the power of two-point estimators ICML 2023
Run-off Election: Improved Provable Defense against Data Poisoning Attacks ICML 2023
UMD: Unsupervised Model Detection for X2X Backdoor Attacks ICML 2023
On the Forward Invariance of Neural ODEs ICML 2023
Probabilistic Categorical Adversarial Attack and Adversarial Training ICML 2023
Demystifying Uneven Vulnerability of Link Stealing Attacks against Graph Neural Networks ICML 2023
A Robust Optimisation Perspective on Counterexample-Guided Repair of Neural Networks ICML 2023
Identification of the Adversary from a Single Adversarial Example ICML 2023
Scaling Laws for Reward Model Overoptimization ICML 2023
Constrained Decision Transformer for Offline Safe Reinforcement Learning ICML 2023
A Near-Optimal Algorithm for Safe Reinforcement Learning Under Instantaneous Hard Constraints ICML 2023
Invariance in Policy Optimisation and Partial Identifiability in Reward Learning ICML 2023