Update README.md

README.md

@@ -1,4 +1,4 @@
-
+---
 license: mit
 language:
 - en
@@ -33,6 +33,40 @@ It is useful for:
 - Evaluating privacy-utility tradeoffs in streaming systems
 - Reproducing results from the associated research implementation
 
+## Quick start
+
+# Install the package first
+pip install phi-exposure-guard
+
+import pandas as pd
+import json
+
+# Load policy benchmark results
+df = pd.read_csv("policy_metrics.csv")
+print(df)
+
+# Load full audit log
+with open("audit_log.jsonl") as f:
+    events = [json.loads(line) for line in f]
+
+# Example: filter adaptive policy events
+adaptive = [e for e in events if e["policy_run"] == "adaptive"]
+## Privacy-Utility Tradeoff
+
+![Privacy-Utility Tradeoff](privacy_utility_curve.png)
+
+The adaptive policy achieves full utility while keeping leakage close to the redact floor. It only escalates masking strength when cumulative exposure actually justifies it, not on every record by default.
+
+## Policy benchmark results
+
+| Policy | Leak Total | Utility Proxy | Mean Latency (ms) | P90 Latency (ms) |
+| --- | --- | --- | --- | --- |
+| raw | 3.03 | 1.0 | 0.123 | 0.154 |
+| weak | 2.0 | 0.51 | 0.141 | 0.18 |
+| pseudo | 0.51 | 1.0 | 0.159 | 0.188 |
+| redact | 0.51 | 0.51 | 0.157 | 0.192 |
+| adaptive | 0.56 | 1.0 | 1.16 | 1.237 |
+
 ## Dataset structure
 
 The primary file is `audit_log.jsonl`. Each line is one masking decision for one event.
@@ -74,18 +108,6 @@ Five masking policies are included for comparison:
 - `redact` — full redaction
 - `adaptive` — risk-governed dynamic policy selection
 
-## Policy benchmark results
-
-| Policy | Leak Total | Utility Proxy | Mean Latency (ms) | P90 Latency (ms) |
-| --- | --- | --- | --- | --- |
-| raw | 3.03 | 1.0 | 0.123 | 0.154 |
-| weak | 2.0 | 0.51 | 0.141 | 0.18 |
-| pseudo | 0.51 | 1.0 | 0.159 | 0.188 |
-| redact | 0.51 | 0.51 | 0.157 | 0.192 |
-| adaptive | 0.56 | 1.0 | 1.16 | 1.237 |
-
-The adaptive policy achieves full utility while keeping leakage close to the redact floor — without the utility collapse that full redaction causes.
-
 ## Additional files
 
 | File | Description |
@@ -93,20 +115,21 @@ The adaptive policy achieves full utility while keeping leakage close to the red
 | `policy_metrics.csv` | Aggregated per-policy evaluation metrics |
 | `latency_summary.csv` | Latency distribution per policy |
 | `audit_log_signed_adaptive.jsonl` | Cryptographically signed adaptive policy audit trail |
-| `audit_fhir_adaptive.jsonl` | FHIR-structured audit events for the adaptive policy |
-| `dcpg_snapshot.json` | Final exposure graph state snapshot |
-| `rl_reward_stats.json` | RL reward statistics from the adaptive controller |
-| `sample_dag.json` | Sample dependency graph structure |
+| `EXPERIMENT_REPORT.md` | Full experiment report with leakage breakdown by modality |
 
 ## Source code and reproduction
 
 All data in this dataset was generated by the open-source research implementation:
 
-GitHub: [azithteja91/amphi_rl_dpgraph](https://github.com/azithteja91/amphi_rl_dpgraph)
+GitHub: [azithteja91/phi-exposure-guard](https://github.com/azithteja91/phi-exposure-guard)
+
+Hugging Face Space: [vkatg/amphi-rl-dpgraph](https://huggingface.co/spaces/vkatg/amphi-rl-dpgraph)
 
 To regenerate:
 
 ```bash
+git clone https://github.com/azithteja91/phi-exposure-guard.git
+cd phi-exposure-guard
 pip install -e .
 python -m amphi_rl_dpgraph.run_demo
 ```