AI Safety
3,602 papers
Papers per year
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1
1
4
1
5
1
13
49
99
135
195
225
358
812
1,297
405
'15
'20
'25
Papers
Feature Separation and Recalibration for Adversarial Robustness
CVPR 2023
FedGame: A Game-Theoretic Defense against Backdoor Attacks in Federated Learning
NeurIPS 2023
Few-shot Backdoor Attacks via Neural Tangent Kernels
ICLR 2023
FLIP: A Provable Defense Framework for Backdoor Mitigation in Federated Learning
ICLR 2023
Fooling SHAP with Stealthily Biased Sampling
ICLR 2023
FORK: A Bite-Sized Test Set for Probing Culinary Cultural Biases in Commonsense Reasoning Models
ACL 2023
Foveate, Attribute, and Rationalize: Towards Physically Safe and Trustworthy AI
ACL 2023
From Robustness to Privacy and Back
ICML 2023
Fundamental Limits in Formal Verification of Message-Passing Neural Networks
ICLR 2023
Gradient-Informed Neural Network Statistical Robustness Estimation
AISTATS 2023
Guiding LLM to Fool Itself: Automatically Manipulating Machine Reading Comprehension Shortcut Triggers
EMNLP 2023
Guiding Safe Exploration with Weakest Preconditions
ICLR 2023
Hallucination Detection for Generative Large Language Models by Bayesian Sequential Estimation
EMNLP 2023
Holistic Adversarial Robustness of Deep Learning Models
AAAI 2023
Honesty Is the Best Policy: Defining and Mitigating AI Deception
NeurIPS 2023
How to Choose your Best Allies for a Transferable Attack?
ICCV 2023
Human Control: Definitions and Algorithms
UAI 2023
Identification of the Adversary from a Single Adversarial Example
ICML 2023
Identifying and Adapting Transformer-Components Responsible for Gender Bias in an English Language Model
EMNLP 2023
Ignore This Title and HackAPrompt: Exposing Systemic Vulnerabilities of LLMs Through a Global Prompt Hacking Competition
EMNLP 2023
Improving Adversarial Robustness of Masked Autoencoders via Test-time Frequency-domain Prompting
ICCV 2023
Improving Adversarial Robustness via Information Bottleneck Distillation
NeurIPS 2023
Improving Robustness with Adaptive Weight Decay
NeurIPS 2023
Improving the robustness of NLI models with minimax training
ACL 2023
Improving the Transferability of Adversarial Samples by Path-Augmented Method
CVPR 2023