270 results on '"Soheil Feizi"'
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2. Distilling Knowledge from Text-to-Image Generative Models Improves Visio-Linguistic Reasoning in CLIP.
3. WorldBench: Quantifying Geographic Disparities in LLM Factual Recall.
4. Measuring Self-Supervised Representation Quality for Downstream Classification Using Discriminative Features.
5. Strong Baselines for Parameter-Efficient Few-Shot Fine-Tuning.
6. Data-Centric Debugging: mitigating model failures via targeted image retrieval.
7. Fast Adversarial Attacks on Language Models In One GPU Minute.
8. On Mechanistic Knowledge Localization in Text-to-Image Generative Models.
9. PRIME: Prioritizing Interpretability in Failure Mode Extraction.
10. DRSM: De-Randomized Smoothing on Malware Classifier Providing Certified Robustness.
11. Robustness of AI-Image Detectors: Fundamental Limits and Practical Attacks.
12. Localizing and Editing Knowledge In Text-to-Image Generative Models.
13. Towards Improved Input Masking for Convolutional Neural Networks.
14. Text2Concept: Concept Activation Vectors Directly from Text.
15. CUDA: Convolution-Based Unlearnable Datasets.
16. Text-To-Concept (and Back) via Cross-Model Alignment.
17. Identifying Interpretable Subspaces in Image Representations.
18. Run-off Election: Improved Provable Defense against Data Poisoning Attacks.
19. Goal-Conditioned Q-learning as Knowledge Distillation.
20. RESTOR: Knowledge Recovery through Machine Unlearning.
21. Unearthing Skill-Level Insights for Understanding Trade-Offs of Foundation Models.
22. Securing the Future of GenAI: Policy and Technology.
23. DREW : Towards Robust Data Provenance by Leveraging Error-Controlled Watermarking.
24. Understanding the Effect of using Semantically Meaningful Tokens for Visual Representation Learning.
25. Endor: Hardware-Friendly Sparse Format for Offloaded LLM Inference.
26. Loki: Low-Rank Keys for Efficient Sparse Attention.
27. Understanding Information Storage and Transfer in Multi-modal Large Language Models.
28. Decomposing and Interpreting Image Representations via Text in ViTs Beyond CLIP.
29. Rethinking Artistic Copyright Infringements in the Era of Text-to-Image Generative Models.
30. What do we learn from inverting CLIP models?
31. Understanding and Mitigating Compositional Issues in Text-to-Image Generative Models.
32. Adapting Self-Supervised Representations to Multi-Domain Setups.
33. Identifying and Mitigating the Security Risks of Generative AI.
34. Interpolated Joint Space Adversarial Training for Robust and Generalizable Defenses.
35. Segment and Complete: Defending Object Detectors against Adversarial Patch Attacks with Robust Patch Detection.
36. A Comprehensive Study of Image Classification Model Sensitivity to Foregrounds, Backgrounds, and Visual Attributes.
37. Provable Adversarial Robustness for Fractional Lp Threat Models.
38. FOCUS: Familiar Objects in Common and Uncommon Settings.
39. Improved Certified Defenses against Data Poisoning with (Deterministic) Finite Aggregation.
40. Hard-Meta-Dataset++: Towards Understanding Few-Shot Performance on Difficult Tasks.
41. Provable Robustness against Wasserstein Distribution Shifts via Input Randomization.
42. Certifiably Robust Policy Learning against Adversarial Multi-Agent Communication.
43. Diffused Redundancy in Pre-trained Representations.
44. Temporal Robustness against Data poisoning.
45. Exploring Geometry of Blind Spots in Vision models.
46. Spuriosity Rankings: Sorting Data to Measure and Mitigate Biases.
47. Mutual Adversarial Training: Learning Together is Better Than Going Alone.
48. Interpretable Mixture of Experts.
49. PRIME: Prioritizing Interpretability in Failure Mode Extraction.
50. Online Advertisements with LLMs: Opportunities and Challenges.
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