Privacy
3,022 papers
Papers per year
1
2
1
3
7
10
7
18
23
40
67
136
179
302
367
511
562
603
183
'15
'20
'25
Papers
SecureSpectra: Safeguarding Digital Identity from Deep Fake Threats via Intelligent Signatures
Interspeech 2024
SecureSQL: Evaluating Data Leakage of Large Language Models as Natural Language Interfaces to Databases
EMNLP 2024
Securing Billion Bluetooth Devices Leveraging Learning-Based Techniques
AAAI 2024
Seeing the Forest through the Trees: Data Leakage from Partial Transformer Gradients
EMNLP 2024
Segmenting Watermarked Texts From Language Models
NeurIPS 2024
Selling Personal Information: Data Brokers and the Limits of US Regulation
COLING 2024
SemStamp: A Semantic Watermark with Paraphrastic Robustness for Text Generation
NAACL 2024
SentinelLMs: Encrypted Input Adaptation and Fine-Tuning of Language Models for Private and Secure Inference
AAAI 2024
Shadow-Free Membership Inference Attacks: Recommender Systems Are More Vulnerable Than You Thought
IJCAI 2024
Sharpness-Aware Data Poisoning Attack
ICLR 2024
SIFU: Sequential Informed Federated Unlearning for Efficient and Provable Client Unlearning in Federated Optimization
AISTATS 2024
SILENCE: Protecting privacy in offloaded speech understanding on resource-constrained devices
NeurIPS 2024
SilentCipher: Deep Audio Watermarking
Interspeech 2024
SILO Language Models: Isolating Legal Risk In a Nonparametric Datastore
ICLR 2024
SimAC: A Simple Anti-Customization Method for Protecting Face Privacy against Text-to-Image Synthesis of Diffusion Models
CVPR 2024
Single Image Unlearning: Efficient Machine Unlearning in Multimodal Large Language Models
NeurIPS 2024
Smooth Lower Bounds for Differentially Private Algorithms via Padding-and-Permuting Fingerprinting Codes
COLT 2024
Some Constructions of Private, Efficient, and Optimal K-Norm and Elliptic Gaussian Noise
COLT 2024
Spear: Evaluate the Adversarial Robustness of Compressed Neural Models
IJCAI 2024
SPEAR: Exact Gradient Inversion of Batches in Federated Learning
NeurIPS 2024
Stable Unlearnable Example: Enhancing the Robustness of Unlearnable Examples via Stable Error-Minimizing Noise
AAAI 2024
Stealthy and Persistent Unalignment on Large Language Models via Backdoor Injections
NAACL 2024
Steganographic Passport: An Owner and User Verifiable Credential for Deep Model IP Protection Without Retraining
CVPR 2024
Synthetic Query Generation for Privacy-Preserving Deep Retrieval Systems using Differentially Private Language Models
NAACL 2024
Tangent Transformers for Composition,Privacy and Removal
ICLR 2024