Suraj Srinivas
- Interpreting CLIP with Sparse Linear Concept Embeddings (SpLiCE)
2024/02/16 by Usha Bhalla, Alex Oesterling, Bhalla, Usha +8 · 2 voices · 32 citations
Computer Science · #Bayesian Modeling and Causal Inference #cs.CV #cs.LG
- Certifying LLM Safety against Adversarial Prompting
2023/09/06 by Aounon Kumar, Chirag Agarwal, Kumar, Aounon +7 · 44 citations
Computer Science · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Full-Gradient Representation for Neural Network Visualization
2019/05/02 by Suraj Srinivas, François Fleuret, Srinivas, Suraj +1 · 21 citations
Computer Science · Biochemistry, Genetics and Molecular Biology · #Explainable Artificial Intelligence (XAI) #Adversarial Robustness in Machine Learning #Cell Image Analysis Techniques
- Which Explanation Should I Choose? A Function Approximation Perspective to Characterizing Post Hoc Explanations
2022/06/02 by Tessa Han, Han, Tessa, Suraj Srinivas +3 · 7 citations
Computer Science · Decision Sciences · #Explainable Artificial Intelligence (XAI) #Data Stream Mining Techniques #Advanced Bandit Algorithms Research
- Training Sparse Neural Networks
2016/11/21 by Suraj Srinivas, Srinivas, Suraj, Akshayvarun Subramanya +3 · 3 citations
Computer Science · Engineering · #Advanced Image and Video Retrieval Techniques #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Sparse and Compressive Sensing Techniques
- How Much Can We Forget about Data Contamination?
2024/10/04 by Sebastian Bordt, Bordt, Sebastian, Suraj Srinivas +5 · 2 voices · 6 citations
Computer Science · #Privacy-Preserving Technologies in Data #cs.AI #cs.CL #cs.LG
- Data-Efficient Structured Pruning via Submodular Optimization
2022/03/09 by Marwa El Halabi, Suraj Srinivas, Halabi, Marwa El +3 · 2 citations
Computer Science · #Advanced Neural Network Applications #Artificial Intelligence (cs.AI) #Discrete Mathematics (cs.DM) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning and ELM #Neural Networks and Applications #Optimization and Control (math.OC)
- Word-Level Explanations for Analyzing Bias in Text-to-Image Models
2023/06/03 by Alexander Y. Lin, Lin, Alexander, Lucas Monteiro Paes +7 · 2 citations
Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Topic Modeling
- Rethinking the Role of Gradient-Based Attribution Methods for Model Interpretability
2020/06/16 by Suraj Srinivas, François Fleuret, Srinivas, Suraj +1 · 1 citation
Computer Science · #Explainable Artificial Intelligence (XAI) #Adversarial Robustness in Machine Learning #Machine Learning and Data Classification
- Evaluating Adversarial Robustness of Concept Representations in Sparse Autoencoders
2025/05/21 by Aaron J. Li, Li, Aaron J., Suraj Srinivas +5 · 2 citations
Computer Science · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Domain Adaptation and Few-Shot Learning #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG)